Repository: hindupuravinash/the-gan-zoo
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Directory structure:
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├── .vscode/
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├── LICENSE
├── README.j2.md
├── README.md
├── gans.tsv
├── requirements.txt
└── update.py
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FILE CONTENTS
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FILE: .vscode/settings.json
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{
"python.pythonPath": "/Users/davidfoster/.virtualenvs/webscraper/bin/python"
}
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FILE: LICENSE
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MIT License
Copyright (c) 2017 Avinash Hindupur
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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FILE: README.j2.md
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# The GAN Zoo
<p align="center"><img width="40%" src="The_GAN_Zoo.jpg" /></p>
Every week, new GAN papers are coming out and it's hard to keep track of them all, not to mention the incredibly creative ways in which researchers are naming these GANs! So, here's a list of what started as a fun activity compiling all named GANs!
<p align="center"><img width="50%" src="cumulative_gans.jpg" /></p>
You can also check out the same data in a tabular format with functionality to filter by year or do a quick search by title [here](https://github.com/hindupuravinash/the-gan-zoo/blob/master/gans.tsv).
Contributions are welcome. Add links through pull requests in gans.tsv file in the same format or create an issue to lemme know something I missed or to start a discussion.
Check out [Deep Hunt](https://deephunt.in) - my weekly AI newsletter for this repo as [blogpost](https://medium.com/deep-hunt/the-gan-zoo-79597dc8c347) and follow me on [Twitter](https://www.twitter.com/hindupuravinash).
{% for gan in gans %}
* {{ gan['Abbr.'] }} - [{{ gan['Title'] }}]({{ gan['Arxiv'] }})
{%- if gan['Official_Code'] != '-' -%}
{#- #} ([github]({{ gan['Official_Code'] }}))
{% else %} {# space removed if no github repository #}
{% endif %}
{%- endfor %}
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FILE: README.md
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# The GAN Zoo
<p align="center"><img width="40%" src="The_GAN_Zoo.jpg" /></p>
Every week, new GAN papers are coming out and it's hard to keep track of them all, not to mention the incredibly creative ways in which researchers are naming these GANs! So, here's a list of what started as a fun activity compiling all named GANs!
<p align="center"><img width="50%" src="cumulative_gans.jpg" /></p>
You can also check out the same data in a tabular format with functionality to filter by year or do a quick search by title [here](https://github.com/hindupuravinash/the-gan-zoo/blob/master/gans.tsv).
Contributions are welcome. Add links through pull requests in gans.tsv file in the same format or create an issue to lemme know something I missed or to start a discussion.
Check out [Deep Hunt](https://deephunt.in) - my weekly AI newsletter for this repo as [blogpost](https://medium.com/deep-hunt/the-gan-zoo-79597dc8c347) and follow me on [Twitter](https://www.twitter.com/hindupuravinash).
* 3D-ED-GAN - [Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks](https://arxiv.org/abs/1711.06375)
* 3D-GAN - [Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling](https://arxiv.org/abs/1610.07584) ([github](https://github.com/zck119/3dgan-release))
* 3D-IWGAN - [Improved Adversarial Systems for 3D Object Generation and Reconstruction](https://arxiv.org/abs/1707.09557) ([github](https://github.com/EdwardSmith1884/3D-IWGAN))
* 3D-PhysNet - [3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations](https://arxiv.org/abs/1805.00328)
* 3D-RecGAN - [3D Object Reconstruction from a Single Depth View with Adversarial Learning](https://arxiv.org/abs/1708.07969) ([github](https://github.com/Yang7879/3D-RecGAN))
* ABC-GAN - [ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks](https://drive.google.com/file/d/0B3wEP_lEl0laVTdGcHE2VnRiMlE/view) ([github](https://github.com/IgorSusmelj/ABC-GAN))
* ABC-GAN - [GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference](https://arxiv.org/abs/1711.11139)
* AC-GAN - [Conditional Image Synthesis With Auxiliary Classifier GANs](https://arxiv.org/abs/1610.09585)
* acGAN - [Face Aging With Conditional Generative Adversarial Networks](https://arxiv.org/abs/1702.01983)
* ACGAN - [Coverless Information Hiding Based on Generative adversarial networks](https://arxiv.org/abs/1712.06951)
* acGAN - [On-line Adaptative Curriculum Learning for GANs](https://arxiv.org/abs/1808.00020)
* ACtuAL - [ACtuAL: Actor-Critic Under Adversarial Learning](https://arxiv.org/abs/1711.04755)
* AdaGAN - [AdaGAN: Boosting Generative Models](https://arxiv.org/abs/1701.02386v1)
* Adaptive GAN - [Customizing an Adversarial Example Generator with Class-Conditional GANs](https://arxiv.org/abs/1806.10496)
* AdvEntuRe - [AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples](https://arxiv.org/abs/1805.04680)
* AdvGAN - [Generating adversarial examples with adversarial networks](https://arxiv.org/abs/1801.02610)
* AE-GAN - [AE-GAN: adversarial eliminating with GAN](https://arxiv.org/abs/1707.05474)
* AE-OT - [Latent Space Optimal Transport for Generative Models](https://arxiv.org/abs/1809.05964)
* AEGAN - [Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets](https://arxiv.org/abs/1703.10094)
* AF-DCGAN - [AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization System](https://arxiv.org/abs/1804.05347)
* AffGAN - [Amortised MAP Inference for Image Super-resolution](https://arxiv.org/abs/1610.04490)
* AIM - [Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization](https://arxiv.org/abs/1809.05972)
* AL-CGAN - [Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts](https://arxiv.org/abs/1612.00215)
* ALI - [Adversarially Learned Inference](https://arxiv.org/abs/1606.00704) ([github](https://github.com/IshmaelBelghazi/ALI))
* AlignGAN - [AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks](https://arxiv.org/abs/1707.01400)
* AlphaGAN - [AlphaGAN: Generative adversarial networks for natural image matting](https://arxiv.org/abs/1807.10088)
* AM-GAN - [Activation Maximization Generative Adversarial Nets](https://arxiv.org/abs/1703.02000)
* AmbientGAN - [AmbientGAN: Generative models from lossy measurements](https://openreview.net/forum?id=Hy7fDog0b) ([github](https://github.com/AshishBora/ambient-gan))
* AMC-GAN - [Video Prediction with Appearance and Motion Conditions](https://arxiv.org/abs/1807.02635)
* AnoGAN - [Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery](https://arxiv.org/abs/1703.05921v1)
* APD - [Adversarial Distillation of Bayesian Neural Network Posteriors](https://arxiv.org/abs/1806.10317)
* APE-GAN - [APE-GAN: Adversarial Perturbation Elimination with GAN](https://arxiv.org/abs/1707.05474)
* ARAE - [Adversarially Regularized Autoencoders for Generating Discrete Structures](https://arxiv.org/abs/1706.04223) ([github](https://github.com/jakezhaojb/ARAE))
* ARDA - [Adversarial Representation Learning for Domain Adaptation](https://arxiv.org/abs/1707.01217)
* ARIGAN - [ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network](https://arxiv.org/abs/1709.00938)
* ArtGAN - [ArtGAN: Artwork Synthesis with Conditional Categorial GANs](https://arxiv.org/abs/1702.03410)
* ASDL-GAN - [Automatic Steganographic Distortion Learning Using a Generative Adversarial Network](https://ieeexplore.ieee.org/document/8017430/)
* ATA-GAN - [Attention-Aware Generative Adversarial Networks (ATA-GANs)](https://arxiv.org/abs/1802.09070)
* Attention-GAN - [Attention-GAN for Object Transfiguration in Wild Images](https://arxiv.org/abs/1803.06798)
* AttGAN - [Arbitrary Facial Attribute Editing: Only Change What You Want](https://arxiv.org/abs/1711.10678) ([github](https://github.com/LynnHo/AttGAN-Tensorflow))
* AttnGAN - [AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks](https://arxiv.org/abs/1711.10485) ([github](https://github.com/taoxugit/AttnGAN))
* AVID - [AVID: Adversarial Visual Irregularity Detection](https://arxiv.org/abs/1805.09521)
* B-DCGAN - [B-DCGAN:Evaluation of Binarized DCGAN for FPGA](https://arxiv.org/abs/1803.10930)
* b-GAN - [Generative Adversarial Nets from a Density Ratio Estimation Perspective](https://arxiv.org/abs/1610.02920)
* BAGAN - [BAGAN: Data Augmentation with Balancing GAN](https://arxiv.org/abs/1803.09655)
* Bayesian GAN - [Deep and Hierarchical Implicit Models](https://arxiv.org/abs/1702.08896)
* Bayesian GAN - [Bayesian GAN](https://arxiv.org/abs/1705.09558) ([github](https://github.com/andrewgordonwilson/bayesgan/))
* BCGAN - [Bayesian Conditional Generative Adverserial Networks](https://arxiv.org/abs/1706.05477)
* BCGAN - [Bidirectional Conditional Generative Adversarial networks](https://arxiv.org/abs/1711.07461)
* BEAM - [Boltzmann Encoded Adversarial Machines](https://arxiv.org/abs/1804.08682)
* BEGAN - [BEGAN: Boundary Equilibrium Generative Adversarial Networks](https://arxiv.org/abs/1703.10717)
* BEGAN-CS - [Escaping from Collapsing Modes in a Constrained Space](https://arxiv.org/abs/1808.07258)
* Bellman GAN - [Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN](https://arxiv.org/abs/1808.01960)
* BGAN - [Binary Generative Adversarial Networks for Image Retrieval](https://arxiv.org/abs/1708.04150) ([github](https://github.com/htconquer/BGAN))
* Bi-GAN - [Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm](https://arxiv.org/abs/1809.10244)
* BicycleGAN - [Toward Multimodal Image-to-Image Translation](https://arxiv.org/abs/1711.11586) ([github](https://github.com/junyanz/BicycleGAN))
* BiGAN - [Adversarial Feature Learning](https://arxiv.org/abs/1605.09782v7)
* BinGAN - [BinGAN: Learning Compact Binary Descriptors with a Regularized GAN](https://arxiv.org/abs/1806.06778)
* BourGAN - [BourGAN: Generative Networks with Metric Embeddings](https://arxiv.org/abs/1805.07674)
* BranchGAN - [Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning](https://arxiv.org/abs/1803.08467)
* BRE - [Improving GAN Training via Binarized Representation Entropy (BRE) Regularization](https://arxiv.org/abs/1805.03644) ([github](https://github.com/BorealisAI/bre-gan))
* BridgeGAN - [Generative Adversarial Frontal View to Bird View Synthesis](https://arxiv.org/abs/1808.00327)
* BS-GAN - [Boundary-Seeking Generative Adversarial Networks](https://arxiv.org/abs/1702.08431v1)
* BubGAN - [BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images](https://arxiv.org/abs/1809.02266)
* BWGAN - [Banach Wasserstein GAN](https://arxiv.org/abs/1806.06621)
* C-GAN - [Face Aging with Contextual Generative Adversarial Nets ](https://arxiv.org/abs/1802.00237 )
* C-RNN-GAN - [C-RNN-GAN: Continuous recurrent neural networks with adversarial training](https://arxiv.org/abs/1611.09904) ([github](https://github.com/olofmogren/c-rnn-gan/))
* CA-GAN - [Composition-aided Sketch-realistic Portrait Generation](https://arxiv.org/abs/1712.00899)
* CaloGAN - [CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks](https://arxiv.org/abs/1705.02355) ([github](https://github.com/hep-lbdl/CaloGAN))
* CAN - [CAN: Creative Adversarial Networks, Generating Art by Learning About Styles and Deviating from Style Norms](https://arxiv.org/abs/1706.07068)
* CapsGAN - [CapsGAN: Using Dynamic Routing for Generative Adversarial Networks](https://arxiv.org/abs/1806.03968)
* CapsuleGAN - [CapsuleGAN: Generative Adversarial Capsule Network ](http://arxiv.org/abs/1802.06167)
* CatGAN - [Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks](https://arxiv.org/abs/1511.06390v2)
* CatGAN - [CatGAN: Coupled Adversarial Transfer for Domain Generation](https://arxiv.org/abs/1711.08904)
* CausalGAN - [CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training](https://arxiv.org/abs/1709.02023)
* CC-GAN - [Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks](https://arxiv.org/abs/1611.06430) ([github](https://github.com/edenton/cc-gan))
* cd-GAN - [Conditional Image-to-Image Translation](https://arxiv.org/abs/1805.00251)
* CDcGAN - [Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network](https://arxiv.org/abs/1708.09105)
* CE-GAN - [Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Network](https://arxiv.org/abs/1807.04585)
* CFG-GAN - [Composite Functional Gradient Learning of Generative Adversarial Models](https://arxiv.org/abs/1801.06309)
* CGAN - [Conditional Generative Adversarial Nets](https://arxiv.org/abs/1411.1784)
* CGAN - [Controllable Generative Adversarial Network](https://arxiv.org/abs/1708.00598)
* Chekhov GAN - [An Online Learning Approach to Generative Adversarial Networks](https://arxiv.org/abs/1706.03269)
* ciGAN - [Conditional Infilling GANs for Data Augmentation in Mammogram Classification](https://arxiv.org/abs/1807.08093)
* CinCGAN - [Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks](https://arxiv.org/abs/1809.00437)
* CipherGAN - [Unsupervised Cipher Cracking Using Discrete GANs](https://arxiv.org/abs/1801.04883)
* ClusterGAN - [ClusterGAN : Latent Space Clustering in Generative Adversarial Networks](https://arxiv.org/abs/1809.03627)
* CM-GAN - [CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning](https://arxiv.org/abs/1710.05106)
* CoAtt-GAN - [Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning](https://arxiv.org/abs/1711.07613)
* CoGAN - [Coupled Generative Adversarial Networks](https://arxiv.org/abs/1606.07536v2)
* ComboGAN - [ComboGAN: Unrestrained Scalability for Image Domain Translation](https://arxiv.org/abs/1712.06909) ([github](https://github.com/AAnoosheh/ComboGAN))
* ConceptGAN - [Learning Compositional Visual Concepts with Mutual Consistency](https://arxiv.org/abs/1711.06148)
* Conditional cycleGAN - [Conditional CycleGAN for Attribute Guided Face Image Generation](https://arxiv.org/abs/1705.09966)
* constrast-GAN - [Generative Semantic Manipulation with Contrasting GAN](https://arxiv.org/abs/1708.00315)
* Context-RNN-GAN - [Contextual RNN-GANs for Abstract Reasoning Diagram Generation](https://arxiv.org/abs/1609.09444)
* CorrGAN - [Correlated discrete data generation using adversarial training](https://arxiv.org/abs/1804.00925)
* Coulomb GAN - [Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields](https://arxiv.org/abs/1708.08819)
* Cover-GAN - [Generative Steganography with Kerckhoffs' Principle based on Generative Adversarial Networks](https://arxiv.org/abs/1711.04916)
* cowboy - [Defending Against Adversarial Attacks by Leveraging an Entire GAN](https://arxiv.org/abs/1805.10652)
* CR-GAN - [CR-GAN: Learning Complete Representations for Multi-view Generation](https://arxiv.org/abs/1806.11191)
* Cramèr GAN - [The Cramer Distance as a Solution to Biased Wasserstein Gradients](https://arxiv.org/abs/1705.10743)
* Cross-GAN - [Crossing Generative Adversarial Networks for Cross-View Person Re-identification](https://arxiv.org/abs/1801.01760)
* crVAE-GAN - [Channel-Recurrent Variational Autoencoders](https://arxiv.org/abs/1706.03729)
* CS-GAN - [Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets](https://arxiv.org/abs/1703.04887)
* CSG - [Speech-Driven Expressive Talking Lips with Conditional Sequential Generative Adversarial Networks](https://arxiv.org/abs/1806.00154)
* CT-GAN - [CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification](https://arxiv.org/abs/1807.04812)
* CVAE-GAN - [CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training](https://arxiv.org/abs/1703.10155)
* CycleGAN - [Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks](https://arxiv.org/abs/1703.10593) ([github](https://github.com/junyanz/CycleGAN))
* D-GAN - [Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data](https://arxiv.org/abs/1711.10267)
* D-WCGAN - [I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification](https://arxiv.org/abs/1804.00290)
* D2GAN - [Dual Discriminator Generative Adversarial Nets](http://arxiv.org/abs/1709.03831)
* D2IA-GAN - [Tagging like Humans: Diverse and Distinct Image Annotation](https://arxiv.org/abs/1804.00113)
* DA-GAN - [DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials)](http://arxiv.org/abs/1802.06454)
* DADA - [DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification](https://arxiv.org/abs/1809.00981)
* DAGAN - [Data Augmentation Generative Adversarial Networks](https://arxiv.org/abs/1711.04340)
* DAN - [Distributional Adversarial Networks](https://arxiv.org/abs/1706.09549)
* DBLRGAN - [Adversarial Spatio-Temporal Learning for Video Deblurring](https://arxiv.org/abs/1804.00533)
* DCGAN - [Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks](https://arxiv.org/abs/1511.06434) ([github](https://github.com/Newmu/dcgan_code))
* DE-GAN - [Generative Adversarial Networks with Decoder-Encoder Output Noise](https://arxiv.org/abs/1807.03923)
* DeblurGAN - [DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks](https://arxiv.org/abs/1711.07064) ([github](https://github.com/KupynOrest/DeblurGAN))
* DeepFD - [Learning to Detect Fake Face Images in the Wild](https://arxiv.org/abs/1809.08754)
* Defense-GAN - [Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models ](https://arxiv.org/abs/1805.06605 ) ([github](https://github.com/kabkabm/defensegan))
* Defo-Net - [Defo-Net: Learning Body Deformation using Generative Adversarial Networks](https://arxiv.org/abs/1804.05928)
* DeliGAN - [DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data](https://arxiv.org/abs/1706.02071) ([github](https://github.com/val-iisc/deligan))
* DF-GAN - [Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions](https://arxiv.org/abs/1712.04646)
* DialogWAE - [DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder](https://arxiv.org/abs/1805.12352)
* DiscoGAN - [Learning to Discover Cross-Domain Relations with Generative Adversarial Networks](https://arxiv.org/abs/1703.05192v1)
* DistanceGAN - [One-Sided Unsupervised Domain Mapping](https://arxiv.org/abs/1706.00826)
* DM-GAN - [Dual Motion GAN for Future-Flow Embedded Video Prediction](https://arxiv.org/abs/1708.00284)
* DMGAN - [Disconnected Manifold Learning for Generative Adversarial Networks](https://arxiv.org/abs/1806.00880)
* DNA-GAN - [DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images](https://arxiv.org/abs/1711.05415)
* DOPING - [DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN](https://arxiv.org/abs/1808.07632)
* dp-GAN - [Differentially Private Releasing via Deep Generative Model](https://arxiv.org/abs/1801.01594)
* DP-GAN - [DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text ](https://arxiv.org/abs/1802.01345 )
* DPGAN - [Differentially Private Generative Adversarial Network ](http://arxiv.org/abs/1802.06739)
* DR-GAN - [Representation Learning by Rotating Your Faces](https://arxiv.org/abs/1705.11136)
* DRAGAN - [How to Train Your DRAGAN](https://arxiv.org/abs/1705.07215) ([github](https://github.com/kodalinaveen3/DRAGAN))
* Dropout-GAN - [Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators](https://arxiv.org/abs/1807.11346)
* DRPAN - [Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation](https://arxiv.org/abs/1711.09554)
* DSH-GAN - [Deep Semantic Hashing with Generative Adversarial Networks](https://arxiv.org/abs/1804.08275)
* DSP-GAN - [Depth Structure Preserving Scene Image Generation](https://arxiv.org/abs/1706.00212)
* DTLC-GAN - [Generative Adversarial Image Synthesis with Decision Tree Latent Controller](https://arxiv.org/abs/1805.10603)
* DTN - [Unsupervised Cross-Domain Image Generation](https://arxiv.org/abs/1611.02200)
* DTR-GAN - [DTR-GAN: Dilated Temporal Relational Adversarial Network for Video Summarization](https://arxiv.org/abs/1804.11228)
* DualGAN - [DualGAN: Unsupervised Dual Learning for Image-to-Image Translation](https://arxiv.org/abs/1704.02510v1)
* Dualing GAN - [Dualing GANs](https://arxiv.org/abs/1706.06216)
* DVGAN - [Human Motion Modeling using DVGANs](https://arxiv.org/abs/1804.10652)
* Dynamics Transfer GAN - [Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image](https://arxiv.org/abs/1712.03534)
* E-GAN - [Evolutionary Generative Adversarial Networks](https://arxiv.org/abs/1803.00657)
* EAR - [Generative Model for Heterogeneous Inference](https://arxiv.org/abs/1804.09858)
* EBGAN - [Energy-based Generative Adversarial Network](https://arxiv.org/abs/1609.03126v4)
* ecGAN - [eCommerceGAN : A Generative Adversarial Network for E-commerce](https://arxiv.org/abs/1801.03244)
* ED//GAN - [Stabilizing Training of Generative Adversarial Networks through Regularization](https://arxiv.org/abs/1705.09367)
* Editable GAN - [Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously](https://arxiv.org/abs/1807.07700)
* EGAN - [Enhanced Experience Replay Generation for Efficient Reinforcement Learning](https://arxiv.org/abs/1705.08245)
* EL-GAN - [EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection](https://arxiv.org/abs/1806.05525)
* ELEGANT - [ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes](https://arxiv.org/abs/1803.10562)
* EnergyWGAN - [Energy-relaxed Wassertein GANs (EnergyWGAN): Towards More Stable and High Resolution Image Generation](https://arxiv.org/abs/1712.01026)
* ESRGAN - [ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks](https://arxiv.org/abs/1809.00219)
* ExGAN - [Eye In-Painting with Exemplar Generative Adversarial Networks](https://arxiv.org/abs/1712.03999)
* ExposureGAN - [Exposure: A White-Box Photo Post-Processing Framework](https://arxiv.org/abs/1709.09602) ([github](https://github.com/yuanming-hu/exposure))
* ExprGAN - [ExprGAN: Facial Expression Editing with Controllable Expression Intensity](https://arxiv.org/abs/1709.03842)
* f-CLSWGAN - [Feature Generating Networks for Zero-Shot Learning](https://arxiv.org/abs/1712.00981)
* f-GAN - [f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization](https://arxiv.org/abs/1606.00709)
* FairGAN - [FairGAN: Fairness-aware Generative Adversarial Networks](https://arxiv.org/abs/1805.11202)
* Fairness GAN - [Fairness GAN](https://arxiv.org/abs/1805.09910)
* FakeGAN - [Detecting Deceptive Reviews using Generative Adversarial Networks](https://arxiv.org/abs/1805.10364)
* FBGAN - [Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions](https://arxiv.org/abs/1804.01694)
* FBGAN - [Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference](https://arxiv.org/abs/1805.07862)
* FC-GAN - [Fast-converging Conditional Generative Adversarial Networks for Image Synthesis](https://arxiv.org/abs/1805.01972)
* FF-GAN - [Towards Large-Pose Face Frontalization in the Wild](https://arxiv.org/abs/1704.06244)
* FGGAN - [Adversarial Learning for Fine-grained Image Search](https://arxiv.org/abs/1807.02247)
* Fictitious GAN - [Fictitious GAN: Training GANs with Historical Models](https://arxiv.org/abs/1803.08647)
* FIGAN - [Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks](https://arxiv.org/abs/1711.06045)
* Fila-GAN - [Synthesizing Filamentary Structured Images with GANs](https://arxiv.org/abs/1706.02185)
* First Order GAN - [First Order Generative Adversarial Networks ](https://arxiv.org/abs/1802.04591) ([github](https://github.com/zalandoresearch/first_order_gan))
* Fisher GAN - [Fisher GAN](https://arxiv.org/abs/1705.09675)
* Flow-GAN - [Flow-GAN: Bridging implicit and prescribed learning in generative models](https://arxiv.org/abs/1705.08868)
* FrankenGAN - [rankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs](https://arxiv.org/abs/1806.07179)
* FSEGAN - [Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition](https://arxiv.org/abs/1711.05747)
* FTGAN - [Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture](https://arxiv.org/abs/1711.09618)
* FusedGAN - [Semi-supervised FusedGAN for Conditional Image Generation](https://arxiv.org/abs/1801.05551)
* FusionGAN - [Learning to Fuse Music Genres with Generative Adversarial Dual Learning](https://arxiv.org/abs/1712.01456)
* FusionGAN - [Generating a Fusion Image: One's Identity and Another's Shape](https://arxiv.org/abs/1804.07455)
* G2-GAN - [Geometry Guided Adversarial Facial Expression Synthesis](https://arxiv.org/abs/1712.03474)
* GAAN - [Generative Adversarial Autoencoder Networks](https://arxiv.org/abs/1803.08887)
* GAF - [Generative Adversarial Forests for Better Conditioned Adversarial Learning](https://arxiv.org/abs/1805.05185)
* GAGAN - [GAGAN: Geometry-Aware Generative Adverserial Networks](https://arxiv.org/abs/1712.00684)
* GAIA - [Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions](https://arxiv.org/abs/1807.06650)
* GAIN - [GAIN: Missing Data Imputation using Generative Adversarial Nets](https://arxiv.org/abs/1806.02920)
* GAMN - [Generative Adversarial Mapping Networks](https://arxiv.org/abs/1709.09820)
* GAN - [Generative Adversarial Networks](https://arxiv.org/abs/1406.2661) ([github](https://github.com/goodfeli/adversarial))
* GAN Lab - [GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation](https://arxiv.org/abs/1809.01587)
* GAN Q-learning - [GAN Q-learning](https://arxiv.org/abs/1805.04874)
* GAN-AD - [Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series](https://arxiv.org/abs/1809.04758)
* GAN-ATV - [A Novel Approach to Artistic Textual Visualization via GAN](https://arxiv.org/abs/1710.10553)
* GAN-CLS - [Generative Adversarial Text to Image Synthesis](https://arxiv.org/abs/1605.05396) ([github](https://github.com/reedscot/icml2016))
* GAN-RS - [Towards Qualitative Advancement of Underwater Machine Vision with Generative Adversarial Networks](https://arxiv.org/abs/1712.00736)
* GAN-SD - [Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning](https://arxiv.org/abs/1805.10000)
* GAN-sep - [GANs for Biological Image Synthesis](https://arxiv.org/abs/1708.04692) ([github](https://github.com/aosokin/biogans))
* GAN-VFS - [Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces](https://arxiv.org/abs/1708.02681)
* GAN-Word2Vec - [Adversarial Training of Word2Vec for Basket Completion](https://arxiv.org/abs/1805.08720)
* GANAX - [GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks](https://arxiv.org/abs/1806.01107)
* GANCS - [Deep Generative Adversarial Networks for Compressed Sensing Automates MRI](https://arxiv.org/abs/1706.00051)
* GANDI - [Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples](https://arxiv.org/abs/1711.01391)
* GANG - [GANGs: Generative Adversarial Network Games](https://arxiv.org/abs/1712.00679)
* GANG - [Beyond Local Nash Equilibria for Adversarial Networks](https://arxiv.org/abs/1806.07268)
* GANosaic - [GANosaic: Mosaic Creation with Generative Texture Manifolds](https://arxiv.org/abs/1712.00269)
* GANVO - [GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks](https://arxiv.org/abs/1809.05786)
* GAP - [Context-Aware Generative Adversarial Privacy](https://arxiv.org/abs/1710.09549)
* GAP - [Generative Adversarial Privacy](https://arxiv.org/abs/1807.05306)
* GATS - [Sample-Efficient Deep RL with Generative Adversarial Tree Search](https://arxiv.org/abs/1806.05780)
* GAWWN - [Learning What and Where to Draw](https://arxiv.org/abs/1610.02454) ([github](https://github.com/reedscot/nips2016))
* GC-GAN - [Geometry-Contrastive Generative Adversarial Network for Facial Expression Synthesis](https://arxiv.org/abs/1802.01822 )
* GcGAN - [Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping](https://arxiv.org/abs/1809.05852)
* GeneGAN - [GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data](https://arxiv.org/abs/1705.04932) ([github](https://github.com/Prinsphield/GeneGAN))
* GeoGAN - [Generating Instance Segmentation Annotation by Geometry-guided GAN ](https://arxiv.org/abs/1801.08839 )
* Geometric GAN - [Geometric GAN](https://arxiv.org/abs/1705.02894)
* GIN - [Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation](https://arxiv.org/abs/1808.04495)
* GLCA-GAN - [Global and Local Consistent Age Generative Adversarial Networks ](https://arxiv.org/abs/1801.08390)
* GM-GAN - [Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images](https://arxiv.org/abs/1808.10356)
* GMAN - [Generative Multi-Adversarial Networks](http://arxiv.org/abs/1611.01673)
* GMM-GAN - [Towards Understanding the Dynamics of Generative Adversarial Networks](https://arxiv.org/abs/1706.09884)
* GoGAN - [Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking](https://arxiv.org/abs/1704.04865)
* GONet - [GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation](https://arxiv.org/abs/1803.03254)
* GP-GAN - [GP-GAN: Towards Realistic High-Resolution Image Blending](https://arxiv.org/abs/1703.07195) ([github](https://github.com/wuhuikai/GP-GAN))
* GP-GAN - [GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks](https://arxiv.org/abs/1710.00962)
* GPU - [A generative adversarial framework for positive-unlabeled classification](https://arxiv.org/abs/1711.08054)
* GRAN - [Generating images with recurrent adversarial networks](https://arxiv.org/abs/1602.05110) ([github](https://github.com/jiwoongim/GRAN))
* Graphical-GAN - [Graphical Generative Adversarial Networks](https://arxiv.org/abs/1804.03429)
* GraphSGAN - [Semi-supervised Learning on Graphs with Generative Adversarial Nets](https://arxiv.org/abs/1809.00130)
* GraspGAN - [Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping](https://arxiv.org/abs/1709.07857)
* GT-GAN - [Deep Graph Translation](https://arxiv.org/abs/1805.09980)
* HAN - [Chinese Typeface Transformation with Hierarchical Adversarial Network](https://arxiv.org/abs/1711.06448)
* HAN - [Bidirectional Learning for Robust Neural Networks](https://arxiv.org/abs/1805.08006)
* HiGAN - [Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks](https://arxiv.org/abs/1805.04384)
* HP-GAN - [HP-GAN: Probabilistic 3D human motion prediction via GAN](https://arxiv.org/abs/1711.09561)
* HR-DCGAN - [High-Resolution Deep Convolutional Generative Adversarial Networks](https://arxiv.org/abs/1711.06491)
* hredGAN - [Multi-turn Dialogue Response Generation in an Adversarial Learning framework](https://arxiv.org/abs/1805.11752)
* IAN - [Neural Photo Editing with Introspective Adversarial Networks](https://arxiv.org/abs/1609.07093) ([github](https://github.com/ajbrock/Neural-Photo-Editor))
* IcGAN - [Invertible Conditional GANs for image editing](https://arxiv.org/abs/1611.06355) ([github](https://github.com/Guim3/IcGAN))
* ID-CGAN - [Image De-raining Using a Conditional Generative Adversarial Network](https://arxiv.org/abs/1701.05957v3)
* IdCycleGAN - [Face Translation between Images and Videos using Identity-aware CycleGAN](https://arxiv.org/abs/1712.00971)
* IFcVAEGAN - [Conditional Autoencoders with Adversarial Information Factorization](https://arxiv.org/abs/1711.05175)
* iGAN - [Generative Visual Manipulation on the Natural Image Manifold](https://arxiv.org/abs/1609.03552v2) ([github](https://github.com/junyanz/iGAN))
* IGMM-GAN - [Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data](https://arxiv.org/abs/1809.02728)
* Improved GAN - [Improved Techniques for Training GANs](https://arxiv.org/abs/1606.03498) ([github](https://github.com/openai/improved-gan))
* In2I - [In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks](https://arxiv.org/abs/1711.09334)
* InfoGAN - [InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets](https://arxiv.org/abs/1606.03657v1) ([github](https://github.com/openai/InfoGAN))
* IntroVAE - [IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis](https://arxiv.org/abs/1807.06358)
* IR2VI - [IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Image Translation](https://arxiv.org/abs/1806.09565)
* IRGAN - [IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval models](https://arxiv.org/abs/1705.10513v1)
* IRGAN - [Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances](https://arxiv.org/abs/1806.03577)
* ISGAN - [Invisible Steganography via Generative Adversarial Network](https://arxiv.org/abs/1807.08571)
* ISP-GPM - [Inner Space Preserving Generative Pose Machine](https://arxiv.org/abs/1808.02104)
* Iterative-GAN - [Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs](https://arxiv.org/abs/1711.06078) ([github](https://github.com/punkcure/Iterative-GAN))
* IterGAN - [IterGANs: Iterative GANs to Learn and Control 3D Object Transformation](https://arxiv.org/abs/1804.05651)
* IVE-GAN - [IVE-GAN: Invariant Encoding Generative Adversarial Networks](https://arxiv.org/abs/1711.08646)
* iVGAN - [Towards an Understanding of Our World by GANing Videos in the Wild](https://arxiv.org/abs/1711.11453) ([github](https://github.com/bernhard2202/improved-video-gan))
* IWGAN - [On Unifying Deep Generative Models](https://arxiv.org/abs/1706.00550)
* JointGAN - [JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets](https://arxiv.org/abs/1806.02978)
* JR-GAN - [JR-GAN: Jacobian Regularization for Generative Adversarial Networks](https://arxiv.org/abs/1806.09235)
* KBGAN - [KBGAN: Adversarial Learning for Knowledge Graph Embeddings](https://arxiv.org/abs/1711.04071)
* KGAN - [KGAN: How to Break The Minimax Game in GAN](https://arxiv.org/abs/1711.01744)
* l-GAN - [Representation Learning and Adversarial Generation of 3D Point Clouds](https://arxiv.org/abs/1707.02392)
* LAC-GAN - [Grounded Language Understanding for Manipulation Instructions Using GAN-Based Classification](https://arxiv.org/abs/1801.05096)
* LAGAN - [Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis](https://arxiv.org/abs/1701.05927)
* LAPGAN - [Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks](https://arxiv.org/abs/1506.05751) ([github](https://github.com/facebook/eyescream))
* LB-GAN - [Load Balanced GANs for Multi-view Face Image Synthesis](http://arxiv.org/abs/1802.07447)
* LBT - [Learning Implicit Generative Models by Teaching Explicit Ones](https://arxiv.org/abs/1807.03870)
* LCC-GAN - [Adversarial Learning with Local Coordinate Coding](https://arxiv.org/abs/1806.04895)
* LD-GAN - [Linear Discriminant Generative Adversarial Networks](https://arxiv.org/abs/1707.07831)
* LDAN - [Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images](https://arxiv.org/abs/1709.01993)
* LeakGAN - [Long Text Generation via Adversarial Training with Leaked Information](https://arxiv.org/abs/1709.08624)
* LeGAN - [Likelihood Estimation for Generative Adversarial Networks](https://arxiv.org/abs/1707.07530)
* LGAN - [Global versus Localized Generative Adversarial Nets](https://arxiv.org/abs/1711.06020)
* Lipizzaner - [Towards Distributed Coevolutionary GANs](https://arxiv.org/abs/1807.08194)
* LR-GAN - [LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation](https://arxiv.org/abs/1703.01560v1)
* LS-GAN - [Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities](https://arxiv.org/abs/1701.06264)
* LSGAN - [Least Squares Generative Adversarial Networks](https://arxiv.org/abs/1611.04076v3)
* M-AAE - [Mask-aware Photorealistic Face Attribute Manipulation](https://arxiv.org/abs/1804.08882)
* MAD-GAN - [Multi-Agent Diverse Generative Adversarial Networks](https://arxiv.org/abs/1704.02906)
* MAGAN - [MAGAN: Margin Adaptation for Generative Adversarial Networks](https://arxiv.org/abs/1704.03817v1)
* MAGAN - [MAGAN: Aligning Biological Manifolds](https://arxiv.org/abs/1803.00385)
* MalGAN - [Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN](https://arxiv.org/abs/1702.05983v1)
* MaliGAN - [Maximum-Likelihood Augmented Discrete Generative Adversarial Networks](https://arxiv.org/abs/1702.07983)
* manifold-WGAN - [Manifold-valued Image Generation with Wasserstein Adversarial Networks](https://arxiv.org/abs/1712.01551)
* MARTA-GAN - [Deep Unsupervised Representation Learning for Remote Sensing Images](https://arxiv.org/abs/1612.08879)
* MaskGAN - [MaskGAN: Better Text Generation via Filling in the ______ ](https://arxiv.org/abs/1801.07736 )
* MC-GAN - [Multi-Content GAN for Few-Shot Font Style Transfer](https://arxiv.org/abs/1712.00516) ([github](https://github.com/azadis/MC-GAN))
* MC-GAN - [MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis](https://arxiv.org/abs/1805.01123)
* McGAN - [McGan: Mean and Covariance Feature Matching GAN](https://arxiv.org/abs/1702.08398v1)
* MD-GAN - [Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks](https://arxiv.org/abs/1709.07592)
* MDGAN - [Mode Regularized Generative Adversarial Networks](https://arxiv.org/abs/1612.02136)
* MedGAN - [Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks](https://arxiv.org/abs/1703.06490v1)
* MedGAN - [MedGAN: Medical Image Translation using GANs](https://arxiv.org/abs/1806.06397)
* MEGAN - [MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation](https://arxiv.org/abs/1805.02481)
* MelanoGAN - [MelanoGANs: High Resolution Skin Lesion Synthesis with GANs](https://arxiv.org/abs/1804.04338)
* memoryGAN - [Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks](https://arxiv.org/abs/1803.01500)
* MeRGAN - [Memory Replay GANs: learning to generate images from new categories without forgetting](https://arxiv.org/abs/1809.02058)
* MGAN - [Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks](https://arxiv.org/abs/1604.04382) ([github](https://github.com/chuanli11/MGANs))
* MGGAN - [Multi-Generator Generative Adversarial Nets](https://arxiv.org/abs/1708.02556)
* MGGAN - [MGGAN: Solving Mode Collapse using Manifold Guided Training](https://arxiv.org/abs/1804.04391)
* MIL-GAN - [Multimodal Storytelling via Generative Adversarial Imitation Learning](https://arxiv.org/abs/1712.01455)
* MinLGAN - [Anomaly Detection via Minimum Likelihood Generative Adversarial Networks](https://arxiv.org/abs/1808.00200)
* MIX+GAN - [Generalization and Equilibrium in Generative Adversarial Nets (GANs)](https://arxiv.org/abs/1703.00573v3)
* MIXGAN - [MIXGAN: Learning Concepts from Different Domains for Mixture Generation](https://arxiv.org/abs/1807.01659)
* MLGAN - [Metric Learning-based Generative Adversarial Network](https://arxiv.org/abs/1711.02792)
* MMC-GAN - [A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks from Ambiguous Language Instructions](https://arxiv.org/abs/1806.03847)
* MMD-GAN - [MMD GAN: Towards Deeper Understanding of Moment Matching Network](https://arxiv.org/abs/1705.08584) ([github](https://github.com/dougalsutherland/opt-mmd))
* MMGAN - [MMGAN: Manifold Matching Generative Adversarial Network for Generating Images](https://arxiv.org/abs/1707.08273)
* MoCoGAN - [MoCoGAN: Decomposing Motion and Content for Video Generation](https://arxiv.org/abs/1707.04993) ([github](https://github.com/sergeytulyakov/mocogan))
* Modified GAN-CLS - [Generate the corresponding Image from Text Description using Modified GAN-CLS Algorithm](https://arxiv.org/abs/1806.11302)
* ModularGAN - [Modular Generative Adversarial Networks](https://arxiv.org/abs/1804.03343)
* MolGAN - [MolGAN: An implicit generative model for small molecular graphs](https://arxiv.org/abs/1805.11973)
* MPM-GAN - [Message Passing Multi-Agent GANs](https://arxiv.org/abs/1612.01294)
* MS-GAN - [Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks](http://papers.nips.cc/paper/7014-temporal-coherency-based-criteria-for-predicting-video-frames-using-deep-multi-stage-generative-adversarial-networks)
* MTGAN - [MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks](https://arxiv.org/abs/1803.09059)
* MuseGAN - [MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks](https://arxiv.org/abs/1709.06298)
* MV-BiGAN - [Multi-view Generative Adversarial Networks](https://arxiv.org/abs/1611.02019v1)
* N2RPP - [N2RPP: An Adversarial Network to Rebuild Plantar Pressure for ACLD Patients](https://arxiv.org/abs/1805.02825)
* NAN - [Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing](https://arxiv.org/abs/1804.03287)
* NCE-GAN - [Dihedral angle prediction using generative adversarial networks](https://arxiv.org/abs/1803.10996)
* ND-GAN - [Novelty Detection with GAN](https://arxiv.org/abs/1802.10560)
* NetGAN - [NetGAN: Generating Graphs via Random Walks](https://arxiv.org/abs/1803.00816)
* OCAN - [One-Class Adversarial Nets for Fraud Detection](https://arxiv.org/abs/1803.01798)
* OptionGAN - [OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning](https://arxiv.org/abs/1709.06683)
* ORGAN - [Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models ](https://arxiv.org/abs/1705.10843)
* ORGAN - [3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversary Network](https://arxiv.org/abs/1711.06363)
* OT-GAN - [Improving GANs Using Optimal Transport](https://arxiv.org/abs/1803.05573)
* PacGAN - [PacGAN: The power of two samples in generative adversarial networks](https://arxiv.org/abs/1712.04086)
* PAN - [Perceptual Adversarial Networks for Image-to-Image Transformation](https://arxiv.org/abs/1706.09138)
* PassGAN - [PassGAN: A Deep Learning Approach for Password Guessing](https://arxiv.org/abs/1709.00440)
* PD-WGAN - [Primal-Dual Wasserstein GAN](https://arxiv.org/abs/1805.09575)
* Perceptual GAN - [Perceptual Generative Adversarial Networks for Small Object Detection](https://arxiv.org/abs/1706.05274)
* PGAN - [Probabilistic Generative Adversarial Networks](https://arxiv.org/abs/1708.01886)
* PGD-GAN - [Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees](https://arxiv.org/abs/1802.08406)
* PGGAN - [Patch-Based Image Inpainting with Generative Adversarial Networks](https://arxiv.org/abs/1803.07422)
* PIONEER - [Pioneer Networks: Progressively Growing Generative Autoencoder](https://arxiv.org/abs/1807.03026)
* Pip-GAN - [Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes](https://arxiv.org/abs/1711.10742)
* pix2pix - [Image-to-Image Translation with Conditional Adversarial Networks](https://arxiv.org/abs/1611.07004) ([github](https://github.com/phillipi/pix2pix))
* pix2pixHD - [High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs](https://arxiv.org/abs/1711.11585) ([github](https://github.com/NVIDIA/pix2pixHD))
* PixelGAN - [PixelGAN Autoencoders](https://arxiv.org/abs/1706.00531)
* PM-GAN - [PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities](https://arxiv.org/abs/1804.06248)
* PN-GAN - [Pose-Normalized Image Generation for Person Re-identification](https://arxiv.org/abs/1712.02225)
* POGAN - [Perceptually Optimized Generative Adversarial Network for Single Image Dehazing](https://arxiv.org/abs/1805.01084)
* Pose-GAN - [The Pose Knows: Video Forecasting by Generating Pose Futures](https://arxiv.org/abs/1705.00053)
* PP-GAN - [Privacy-Protective-GAN for Face De-identification](https://arxiv.org/abs/1806.08906)
* PPAN - [Privacy-Preserving Adversarial Networks](https://arxiv.org/abs/1712.07008)
* PPGN - [Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space](https://arxiv.org/abs/1612.00005)
* PrGAN - [3D Shape Induction from 2D Views of Multiple Objects](https://arxiv.org/abs/1612.05872)
* ProGanSR - [A Fully Progressive Approach to Single-Image Super-Resolution](https://arxiv.org/abs/1804.02900)
* Progressive GAN - [Progressive Growing of GANs for Improved Quality, Stability, and Variation](https://arxiv.org/abs/1710.10196) ([github](https://github.com/tkarras/progressive_growing_of_gans))
* PS-GAN - [Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond](https://arxiv.org/abs/1804.02047)
* PSGAN - [Learning Texture Manifolds with the Periodic Spatial GAN](http://arxiv.org/abs/1705.06566)
* PSGAN - [PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening](https://arxiv.org/abs/1805.03371)
* PS²-GAN - [High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks](https://arxiv.org/abs/1710.10182)
* RadialGAN - [RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks ](http://arxiv.org/abs/1802.06403)
* RaGAN - [The relativistic discriminator: a key element missing from standard GAN](https://arxiv.org/abs/1807.00734)
* RAN - [RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment](https://arxiv.org/abs/1712.05444) ([github]())
* RankGAN - [Adversarial Ranking for Language Generation ](https://arxiv.org/abs/1705.11001)
* RCGAN - [Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs](https://arxiv.org/abs/1706.02633)
* ReConNN - [Reconstruction of Simulation-Based Physical Field with Limited Samples by Reconstruction Neural Network](https://arxiv.org/abs/1805.00528)
* Recycle-GAN - [Recycle-GAN: Unsupervised Video Retargeting](https://arxiv.org/abs/1808.05174)
* RefineGAN - [Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks](https://arxiv.org/abs/1709.00753)
* ReGAN - [ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs](https://arxiv.org/abs/1805.02788) ([github](https://github.com/TalkToTheGAN/REGAN))
* RegCGAN - [Unpaired Multi-Domain Image Generation via Regularized Conditional GANs](https://arxiv.org/abs/1805.02456)
* RenderGAN - [RenderGAN: Generating Realistic Labeled Data](https://arxiv.org/abs/1611.01331)
* Resembled GAN - [Resembled Generative Adversarial Networks: Two Domains with Similar Attributes](https://arxiv.org/abs/1807.00947)
* ResGAN - [Generative Adversarial Network based on Resnet for Conditional Image Restoration](https://arxiv.org/abs/1707.04881)
* RNN-WGAN - [Language Generation with Recurrent Generative Adversarial Networks without Pre-training](https://arxiv.org/abs/1706.01399) ([github](https://github.com/amirbar/rnn.wgan))
* RoCGAN - [Robust Conditional Generative Adversarial Networks](https://arxiv.org/abs/1805.08657)
* RPGAN - [Stabilizing GAN Training with Multiple Random Projections](https://arxiv.org/abs/1705.07831) ([github](https://github.com/ayanc/rpgan))
* RTT-GAN - [Recurrent Topic-Transition GAN for Visual Paragraph Generation](https://arxiv.org/abs/1703.07022v2)
* RWGAN - [Relaxed Wasserstein with Applications to GANs](https://arxiv.org/abs/1705.07164)
* SAD-GAN - [SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks](https://arxiv.org/abs/1611.08788v1)
* SAGA - [Generative Adversarial Learning for Spectrum Sensing](https://arxiv.org/abs/1804.00709)
* SAGAN - [Self-Attention Generative Adversarial Networks](https://arxiv.org/abs/1805.08318)
* SalGAN - [SalGAN: Visual Saliency Prediction with Generative Adversarial Networks](https://arxiv.org/abs/1701.01081) ([github](https://github.com/imatge-upc/saliency-salgan-2017))
* SAM - [Sample-Efficient Imitation Learning via Generative Adversarial Nets](https://arxiv.org/abs/1809.02064)
* sAOG - [Deep Structured Generative Models](https://arxiv.org/abs/1807.03877)
* SAR-GAN - [Generating High Quality Visible Images from SAR Images Using CNNs](https://arxiv.org/abs/1802.10036)
* SBADA-GAN - [From source to target and back: symmetric bi-directional adaptive GAN](https://arxiv.org/abs/1705.08824)
* ScarGAN - [ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans](https://arxiv.org/abs/1808.04500)
* SCH-GAN - [SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network ](https://arxiv.org/abs/1802.02488 )
* SD-GAN - [Semantically Decomposing the Latent Spaces of Generative Adversarial Networks](https://arxiv.org/abs/1705.07904)
* Sdf-GAN - [Sdf-GAN: Semi-supervised Depth Fusion with Multi-scale Adversarial Networks](https://arxiv.org/abs/1803.06657)
* SEGAN - [SEGAN: Speech Enhancement Generative Adversarial Network](https://arxiv.org/abs/1703.09452v1)
* SeGAN - [SeGAN: Segmenting and Generating the Invisible](https://arxiv.org/abs/1703.10239)
* SegAN - [SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation](https://arxiv.org/abs/1706.01805)
* Sem-GAN - [Sem-GAN: Semantically-Consistent Image-to-Image Translation](https://arxiv.org/abs/1807.04409)
* SeqGAN - [SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient](https://arxiv.org/abs/1609.05473v5) ([github](https://github.com/LantaoYu/SeqGAN))
* SeUDA - [Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation](https://arxiv.org/abs/1806.00600)
* SG-GAN - [Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption](https://arxiv.org/abs/1801.01726) ([github](https://github.com/Peilun-Li/SG-GAN))
* SG-GAN - [Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation](https://arxiv.org/abs/1805.07509)
* SGAN - [Texture Synthesis with Spatial Generative Adversarial Networks](https://arxiv.org/abs/1611.08207)
* SGAN - [Stacked Generative Adversarial Networks](https://arxiv.org/abs/1612.04357v4) ([github](https://github.com/xunhuang1995/SGAN))
* SGAN - [Steganographic Generative Adversarial Networks](https://arxiv.org/abs/1703.05502)
* SGAN - [SGAN: An Alternative Training of Generative Adversarial Networks](https://arxiv.org/abs/1712.02330)
* SGAN - [CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement](https://arxiv.org/abs/1807.07144)
* sGAN - [Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI](https://arxiv.org/abs/1804.04366)
* SiftingGAN - [SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro](https://arxiv.org/abs/1809.04985)
* SiGAN - [SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination](https://arxiv.org/abs/1807.08370)
* SimGAN - [Learning from Simulated and Unsupervised Images through Adversarial Training](https://arxiv.org/abs/1612.07828)
* SisGAN - [Semantic Image Synthesis via Adversarial Learning](https://arxiv.org/abs/1707.06873)
* Sketcher-Refiner GAN - [Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training](https://arxiv.org/abs/1804.08039)
* SketchGAN - [Adversarial Training For Sketch Retrieval](https://arxiv.org/abs/1607.02748)
* SketchyGAN - [SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis](https://arxiv.org/abs/1801.02753)
* Skip-Thought GAN - [Generating Text through Adversarial Training using Skip-Thought Vectors](https://arxiv.org/abs/1808.08703)
* SL-GAN - [Semi-Latent GAN: Learning to generate and modify facial images from attributes](https://arxiv.org/abs/1704.02166)
* SLSR - [Sparse Label Smoothing for Semi-supervised Person Re-Identification](https://arxiv.org/abs/1809.04976)
* SN-DCGAN - [Generative Adversarial Networks for Unsupervised Object Co-localization](https://arxiv.org/abs/1806.00236)
* SN-GAN - [Spectral Normalization for Generative Adversarial Networks](https://drive.google.com/file/d/0B8HZ50DPgR3eSVV6YlF3XzQxSjQ/view) ([github](https://github.com/pfnet-research/chainer-gan-lib))
* SN-PatchGAN - [Free-Form Image Inpainting with Gated Convolution](https://arxiv.org/abs/1806.03589)
* Sobolev GAN - [Sobolev GAN](https://arxiv.org/abs/1711.04894)
* Social GAN - [Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks](https://arxiv.org/abs/1803.10892)
* Softmax GAN - [Softmax GAN](https://arxiv.org/abs/1704.06191)
* SoPhie - [SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints](https://arxiv.org/abs/1806.01482)
* speech-driven animation GAN - [End-to-End Speech-Driven Facial Animation with Temporal GANs](https://arxiv.org/abs/1805.09313)
* Spike-GAN - [Synthesizing realistic neural population activity patterns using Generative Adversarial Networks](https://arxiv.org/abs/1803.00338)
* Splitting GAN - [Class-Splitting Generative Adversarial Networks](https://arxiv.org/abs/1709.07359)
* SR-CNN-VAE-GAN - [Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation](https://arxiv.org/abs/1806.00509) ([github](https://github.com/makbari7/SR-CNN-VAE-GAN))
* SRGAN - [Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network](https://arxiv.org/abs/1609.04802)
* SRPGAN - [SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution](https://arxiv.org/abs/1712.05927)
* SS-GAN - [Semi-supervised Conditional GANs](https://arxiv.org/abs/1708.05789)
* ss-InfoGAN - [Guiding InfoGAN with Semi-Supervision](https://arxiv.org/abs/1707.04487)
* SSGAN - [SSGAN: Secure Steganography Based on Generative Adversarial Networks](https://arxiv.org/abs/1707.01613)
* SSL-GAN - [Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks](https://arxiv.org/abs/1611.06430v1)
* ST-CGAN - [Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal](https://arxiv.org/abs/1712.02478)
* ST-GAN - [Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently](https://arxiv.org/abs/1702.06762)
* ST-GAN - [ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing](https://arxiv.org/abs/1803.01837)
* StackGAN - [StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks](https://arxiv.org/abs/1612.03242v1) ([github](https://github.com/hanzhanggit/StackGAN))
* StainGAN - [StainGAN: Stain Style Transfer for Digital Histological Images](https://arxiv.org/abs/1804.01601)
* StarGAN - [StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation](https://arxiv.org/abs/1711.09020) ([github](https://github.com/yunjey/StarGAN))
* StarGAN-VC - [StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks ](https://arxiv.org/abs/1806.02169)
* SteinGAN - [Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE](https://arxiv.org/abs/1707.00797)
* StepGAN - [Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation](https://arxiv.org/abs/1808.05599)
* Super-FAN - [Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs](https://arxiv.org/abs/1712.02765)
* SVSGAN - [SVSGAN: Singing Voice Separation via Generative Adversarial Network](https://arxiv.org/abs/1710.11428)
* SWGAN - [Solving Approximate Wasserstein GANs to Stationarity](https://arxiv.org/abs/1802.08249)
* SyncGAN - [SyncGAN: Synchronize the Latent Space of Cross-modal Generative Adversarial Networks](https://arxiv.org/abs/1804.00410)
* S^2GAN - [Generative Image Modeling using Style and Structure Adversarial Networks](https://arxiv.org/abs/1603.05631v2)
* T2Net - [T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks](https://arxiv.org/abs/1808.01454)
* table-GAN - [Data Synthesis based on Generative Adversarial Networks](https://arxiv.org/abs/1806.03384)
* TAC-GAN - [TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network](https://arxiv.org/abs/1703.06412v2) ([github](https://github.com/dashayushman/TAC-GAN))
* TAN - [Outline Colorization through Tandem Adversarial Networks](https://arxiv.org/abs/1704.08834)
* tcGAN - [Cross-modal Hallucination for Few-shot Fine-grained Recognition](https://arxiv.org/abs/1806.05147)
* TD-GAN - [Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation](https://arxiv.org/abs/1806.07201)
* tempCycleGAN - [Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries](https://arxiv.org/abs/1806.03627)
* tempoGAN - [tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow](https://arxiv.org/abs/1801.09710)
* TequilaGAN - [TequilaGAN: How to easily identify GAN samples](https://arxiv.org/abs/1807.04919)
* Text2Shape - [Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings](https://arxiv.org/abs/1803.08495)
* textGAN - [Generating Text via Adversarial Training](https://zhegan27.github.io/Papers/textGAN_nips2016_workshop.pdf)
* TextureGAN - [TextureGAN: Controlling Deep Image Synthesis with Texture Patches](https://arxiv.org/abs/1706.02823)
* TGAN - [Temporal Generative Adversarial Nets](https://arxiv.org/abs/1611.06624v1)
* TGAN - [Tensorizing Generative Adversarial Nets](https://arxiv.org/abs/1710.10772)
* TGAN - [Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization](https://arxiv.org/abs/1711.02666)
* TGANs-C - [To Create What You Tell: Generating Videos from Captions](https://arxiv.org/abs/1804.08264)
* tiny-GAN - [Analysis of Nonautonomous Adversarial Systems](https://arxiv.org/abs/1803.05045)
* TP-GAN - [Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis](https://arxiv.org/abs/1704.04086)
* TreeGAN - [TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks](https://arxiv.org/abs/1808.07582)
* Triple-GAN - [Triple Generative Adversarial Nets](https://arxiv.org/abs/1703.02291v2)
* tripletGAN - [TripletGAN: Training Generative Model with Triplet Loss](https://arxiv.org/abs/1711.05084)
* TV-GAN - [TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition](https://arxiv.org/abs/1712.02514)
* Twin-GAN - [Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing GANs](https://arxiv.org/abs/1809.00946)
* UGACH - [Unsupervised Generative Adversarial Cross-modal Hashing](https://arxiv.org/abs/1712.00358)
* UGAN - [Enhancing Underwater Imagery using Generative Adversarial Networks](https://arxiv.org/abs/1801.04011)
* Unim2im - [Unsupervised Image-to-Image Translation with Generative Adversarial Networks ](https://arxiv.org/abs/1701.02676) ([github](http://github.com/zsdonghao/Unsup-Im2Im))
* UNIT - [Unsupervised Image-to-image Translation Networks](https://arxiv.org/abs/1703.00848) ([github](https://github.com/mingyuliutw/UNIT))
* Unrolled GAN - [Unrolled Generative Adversarial Networks](https://arxiv.org/abs/1611.02163) ([github](https://github.com/poolio/unrolled_gan))
* UT-SCA-GAN - [Spatial Image Steganography Based on Generative Adversarial Network](https://arxiv.org/abs/1804.07939)
* UV-GAN - [UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition](https://arxiv.org/abs/1712.04695)
* VA-GAN - [Visual Feature Attribution using Wasserstein GANs](https://arxiv.org/abs/1711.08998)
* VAC+GAN - [Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN), Multi Class Scenarios](https://arxiv.org/abs/1806.07751)
* VAE-GAN - [Autoencoding beyond pixels using a learned similarity metric](https://arxiv.org/abs/1512.09300)
* VariGAN - [Multi-View Image Generation from a Single-View](https://arxiv.org/abs/1704.04886)
* VAW-GAN - [Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks](https://arxiv.org/abs/1704.00849)
* VEEGAN - [VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning](https://arxiv.org/abs/1705.07761) ([github](https://github.com/akashgit/VEEGAN))
* VGAN - [Generating Videos with Scene Dynamics](https://arxiv.org/abs/1609.02612) ([github](https://github.com/cvondrick/videogan))
* VGAN - [Generative Adversarial Networks as Variational Training of Energy Based Models](https://arxiv.org/abs/1611.01799) ([github](https://github.com/Shuangfei/vgan))
* VGAN - [Text Generation Based on Generative Adversarial Nets with Latent Variable](https://arxiv.org/abs/1712.00170)
* ViGAN - [Image Generation and Editing with Variational Info Generative Adversarial Networks](https://arxiv.org/abs/1701.04568v1)
* VIGAN - [VIGAN: Missing View Imputation with Generative Adversarial Networks](https://arxiv.org/abs/1708.06724)
* VoiceGAN - [Voice Impersonation using Generative Adversarial Networks ](http://arxiv.org/abs/1802.06840)
* VOS-GAN - [VOS-GAN: Adversarial Learning of Visual-Temporal Dynamics for Unsupervised Dense Prediction in Videos](https://arxiv.org/abs/1803.09092)
* VRAL - [Variance Regularizing Adversarial Learning](https://arxiv.org/abs/1707.00309)
* WaterGAN - [WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images](https://arxiv.org/abs/1702.07392v1)
* WaveGAN - [Synthesizing Audio with Generative Adversarial Networks ](https://arxiv.org/abs/1802.04208)
* WaveletGLCA-GAN - [Global and Local Consistent Wavelet-domain Age Synthesis](https://arxiv.org/abs/1809.07764)
* weGAN - [Generative Adversarial Nets for Multiple Text Corpora](https://arxiv.org/abs/1712.09127)
* WGAN - [Wasserstein GAN](https://arxiv.org/abs/1701.07875v2) ([github](https://github.com/martinarjovsky/WassersteinGAN))
* WGAN-CLS - [Text to Image Synthesis Using Generative Adversarial Networks](https://arxiv.org/abs/1805.00676)
* WGAN-GP - [Improved Training of Wasserstein GANs](https://arxiv.org/abs/1704.00028) ([github](https://github.com/igul222/improved_wgan_training))
* WGAN-L1 - [Subsampled Turbulence Removal Network](https://arxiv.org/abs/1807.04418)
* WS-GAN - [Weakly Supervised Generative Adversarial Networks for 3D Reconstruction ](https://arxiv.org/abs/1705.10904)
* X-GANs - [X-GANs: Image Reconstruction Made Easy for Extreme Cases](https://arxiv.org/abs/1808.04432)
* XGAN - [XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings](https://arxiv.org/abs/1711.05139)
* ZipNet-GAN - [ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network](https://arxiv.org/abs/1711.02413)
* α-GAN - [Variational Approaches for Auto-Encoding Generative Adversarial Networks](https://arxiv.org/abs/1706.04987) ([github](https://github.com/victor-shepardson/alpha-GAN))
* β-GAN - [Annealed Generative Adversarial Networks](https://arxiv.org/abs/1705.07505)
* Δ-GAN - [Triangle Generative Adversarial Networks](https://arxiv.org/abs/1709.06548)
================================================
FILE: gans.tsv
================================================
Year Month Abbr. Title Arxiv Official_Code Watches Stars Forks
2014 6 GAN Generative Adversarial Networks https://arxiv.org/abs/1406.2661 https://github.com/goodfeli/adversarial 108 1736 666
2014 11 CGAN Conditional Generative Adversarial Nets https://arxiv.org/abs/1411.1784 -
2015 6 LAPGAN Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks https://arxiv.org/abs/1506.05751 https://github.com/facebook/eyescream 52 581 138
2015 11 CatGAN Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks https://arxiv.org/abs/1511.06390v2 -
2015 11 DCGAN Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks https://arxiv.org/abs/1511.06434 https://github.com/Newmu/dcgan_code 168 2849 581
2015 12 VAE-GAN Autoencoding beyond pixels using a learned similarity metric https://arxiv.org/abs/1512.09300 -
2016 2 GRAN Generating images with recurrent adversarial networks https://arxiv.org/abs/1602.05110 https://github.com/jiwoongim/GRAN 7 104 31
2016 3 S^2GAN Generative Image Modeling using Style and Structure Adversarial Networks https://arxiv.org/abs/1603.05631v2 -
2016 4 MGAN Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks https://arxiv.org/abs/1604.04382 https://github.com/chuanli11/MGANs 23 241 43
2016 5 BiGAN Adversarial Feature Learning https://arxiv.org/abs/1605.09782v7 -
2016 5 GAN-CLS Generative Adversarial Text to Image Synthesis https://arxiv.org/abs/1605.05396 https://github.com/reedscot/icml2016 39 677 155
2016 6 ALI Adversarially Learned Inference https://arxiv.org/abs/1606.00704 https://github.com/IshmaelBelghazi/ALI 16 262 72
2016 6 CoGAN Coupled Generative Adversarial Networks https://arxiv.org/abs/1606.07536v2 -
2016 6 f-GAN f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization https://arxiv.org/abs/1606.00709 -
2016 6 Improved GAN Improved Techniques for Training GANs https://arxiv.org/abs/1606.03498 https://github.com/openai/improved-gan 143 1462 445
2016 6 InfoGAN InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets https://arxiv.org/abs/1606.03657v1 https://github.com/openai/InfoGAN 100 666 211
2016 7 SketchGAN Adversarial Training For Sketch Retrieval https://arxiv.org/abs/1607.02748 -
2016 9 Context-RNN-GAN Contextual RNN-GANs for Abstract Reasoning Diagram Generation https://arxiv.org/abs/1609.09444 -
2016 9 EBGAN Energy-based Generative Adversarial Network https://arxiv.org/abs/1609.03126v4 -
2016 9 IAN Neural Photo Editing with Introspective Adversarial Networks https://arxiv.org/abs/1609.07093 https://github.com/ajbrock/Neural-Photo-Editor 74 1753 152
2016 9 iGAN Generative Visual Manipulation on the Natural Image Manifold https://arxiv.org/abs/1609.03552v2 https://github.com/junyanz/iGAN 151 2984 425
2016 9 SeqGAN SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient https://arxiv.org/abs/1609.05473v5 https://github.com/LantaoYu/SeqGAN 71 1243 464
2016 9 SRGAN Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network https://arxiv.org/abs/1609.04802 -
2016 9 VGAN Generating Videos with Scene Dynamics https://arxiv.org/abs/1609.02612 https://github.com/cvondrick/videogan 34 556 114
2016 10 3D-GAN Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling https://arxiv.org/abs/1610.07584 https://github.com/zck119/3dgan-release 44 437 122
2016 10 AC-GAN Conditional Image Synthesis With Auxiliary Classifier GANs https://arxiv.org/abs/1610.09585 -
2016 10 AffGAN Amortised MAP Inference for Image Super-resolution https://arxiv.org/abs/1610.04490 -
2016 10 GAWWN Learning What and Where to Draw https://arxiv.org/abs/1610.02454 https://github.com/reedscot/nips2016 22 299 55
2016 11 b-GAN Generative Adversarial Nets from a Density Ratio Estimation Perspective https://arxiv.org/abs/1610.02920 -
2016 11 C-RNN-GAN C-RNN-GAN: Continuous recurrent neural networks with adversarial training https://arxiv.org/abs/1611.09904 https://github.com/olofmogren/c-rnn-gan/ 13 188 67
2016 11 CC-GAN Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks https://arxiv.org/abs/1611.06430 https://github.com/edenton/cc-gan 5 16 2
2016 11 DTN Unsupervised Cross-Domain Image Generation https://arxiv.org/abs/1611.02200 -
2016 11 GMAN Generative Multi-Adversarial Networks http://arxiv.org/abs/1611.01673 -
2016 11 IcGAN Invertible Conditional GANs for image editing https://arxiv.org/abs/1611.06355 https://github.com/Guim3/IcGAN 6 188 285
2016 11 LSGAN Least Squares Generative Adversarial Networks https://arxiv.org/abs/1611.04076v3 -
2016 11 MV-BiGAN Multi-view Generative Adversarial Networks https://arxiv.org/abs/1611.02019v1 -
2016 11 pix2pix Image-to-Image Translation with Conditional Adversarial Networks https://arxiv.org/abs/1611.07004 https://github.com/phillipi/pix2pix 248 5260 839
2016 11 RenderGAN RenderGAN: Generating Realistic Labeled Data https://arxiv.org/abs/1611.01331 -
2016 11 SAD-GAN SAD-GAN: Synthetic Autonomous Driving using Generative Adversarial Networks https://arxiv.org/abs/1611.08788v1 -
2016 11 SGAN Texture Synthesis with Spatial Generative Adversarial Networks https://arxiv.org/abs/1611.08207 -
2016 11 SSL-GAN Semi-Supervised Learning with Context-Conditional Generative Adversarial Networks https://arxiv.org/abs/1611.06430v1 -
2016 11 TGAN Temporal Generative Adversarial Nets https://arxiv.org/abs/1611.06624v1 -
2016 11 Unrolled GAN Unrolled Generative Adversarial Networks https://arxiv.org/abs/1611.02163 https://github.com/poolio/unrolled_gan 14 234 40
2016 11 VGAN Generative Adversarial Networks as Variational Training of Energy Based Models https://arxiv.org/abs/1611.01799 https://github.com/Shuangfei/vgan 3 15 10
2016 12 AL-CGAN Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts https://arxiv.org/abs/1612.00215 -
2016 12 MARTA-GAN Deep Unsupervised Representation Learning for Remote Sensing Images https://arxiv.org/abs/1612.08879 -
2016 12 MDGAN Mode Regularized Generative Adversarial Networks https://arxiv.org/abs/1612.02136 -
2016 12 MPM-GAN Message Passing Multi-Agent GANs https://arxiv.org/abs/1612.01294 -
2016 12 PPGN Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space https://arxiv.org/abs/1612.00005 -
2016 12 PrGAN 3D Shape Induction from 2D Views of Multiple Objects https://arxiv.org/abs/1612.05872 -
2016 12 SGAN Stacked Generative Adversarial Networks https://arxiv.org/abs/1612.04357v4 https://github.com/xunhuang1995/SGAN 8 202 49
2016 12 SimGAN Learning from Simulated and Unsupervised Images through Adversarial Training https://arxiv.org/abs/1612.07828 -
2016 12 StackGAN StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks https://arxiv.org/abs/1612.03242v1 https://github.com/hanzhanggit/StackGAN 59 1201 295
2016 12 textGAN Generating Text via Adversarial Training https://zhegan27.github.io/Papers/textGAN_nips2016_workshop.pdf -
2017 1 AdaGAN AdaGAN: Boosting Generative Models https://arxiv.org/abs/1701.02386v1 -
2017 1 ID-CGAN Image De-raining Using a Conditional Generative Adversarial Network https://arxiv.org/abs/1701.05957v3 -
2017 1 LAGAN Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis https://arxiv.org/abs/1701.05927 -
2017 1 LS-GAN Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities https://arxiv.org/abs/1701.06264 -
2017 1 SalGAN SalGAN: Visual Saliency Prediction with Generative Adversarial Networks https://arxiv.org/abs/1701.01081 https://github.com/imatge-upc/saliency-salgan-2017 15 180 80
2017 1 Unim2im Unsupervised Image-to-Image Translation with Generative Adversarial Networks https://arxiv.org/abs/1701.02676 http://github.com/zsdonghao/Unsup-Im2Im 7 48 12
2017 1 ViGAN Image Generation and Editing with Variational Info Generative Adversarial Networks https://arxiv.org/abs/1701.04568v1 -
2017 1 WGAN Wasserstein GAN https://arxiv.org/abs/1701.07875v2 https://github.com/martinarjovsky/WassersteinGAN 99 1939 469
2017 2 acGAN Face Aging With Conditional Generative Adversarial Networks https://arxiv.org/abs/1702.01983 -
2017 2 ArtGAN ArtGAN: Artwork Synthesis with Conditional Categorial GANs https://arxiv.org/abs/1702.03410 -
2017 2 Bayesian GAN Deep and Hierarchical Implicit Models https://arxiv.org/abs/1702.08896 -
2017 2 BS-GAN Boundary-Seeking Generative Adversarial Networks https://arxiv.org/abs/1702.08431v1 -
2017 2 MalGAN Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN https://arxiv.org/abs/1702.05983v1 -
2017 2 MaliGAN Maximum-Likelihood Augmented Discrete Generative Adversarial Networks https://arxiv.org/abs/1702.07983 -
2017 2 McGAN McGan: Mean and Covariance Feature Matching GAN https://arxiv.org/abs/1702.08398v1 -
2017 2 ST-GAN Style Transfer Generative Adversarial Networks: Learning to Play Chess Differently https://arxiv.org/abs/1702.06762 -
2017 2 WaterGAN WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images https://arxiv.org/abs/1702.07392v1 -
2017 3 AEGAN Learning Inverse Mapping by Autoencoder based Generative Adversarial Nets https://arxiv.org/abs/1703.10094 -
2017 3 AM-GAN Activation Maximization Generative Adversarial Nets https://arxiv.org/abs/1703.02000 -
2017 3 AnoGAN Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery https://arxiv.org/abs/1703.05921v1 -
2017 3 BEGAN BEGAN: Boundary Equilibrium Generative Adversarial Networks https://arxiv.org/abs/1703.10717 -
2017 3 CS-GAN Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets https://arxiv.org/abs/1703.04887 -
2017 3 CVAE-GAN CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training https://arxiv.org/abs/1703.10155 -
2017 3 CycleGAN Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks https://arxiv.org/abs/1703.10593 https://github.com/junyanz/CycleGAN 345 7114 1099
2017 3 DiscoGAN Learning to Discover Cross-Domain Relations with Generative Adversarial Networks https://arxiv.org/abs/1703.05192v1 -
2017 3 GP-GAN GP-GAN: Towards Realistic High-Resolution Image Blending https://arxiv.org/abs/1703.07195 https://github.com/wuhuikai/GP-GAN 6 127 29
2017 3 LR-GAN LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation https://arxiv.org/abs/1703.01560v1 -
2017 3 MedGAN Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks https://arxiv.org/abs/1703.06490v1 -
2017 3 MIX+GAN Generalization and Equilibrium in Generative Adversarial Nets (GANs) https://arxiv.org/abs/1703.00573v3 -
2017 3 RTT-GAN Recurrent Topic-Transition GAN for Visual Paragraph Generation https://arxiv.org/abs/1703.07022v2 -
2017 3 SEGAN SEGAN: Speech Enhancement Generative Adversarial Network https://arxiv.org/abs/1703.09452v1 -
2017 3 SeGAN SeGAN: Segmenting and Generating the Invisible https://arxiv.org/abs/1703.10239 -
2017 3 SGAN Steganographic Generative Adversarial Networks https://arxiv.org/abs/1703.05502 -
2017 3 TAC-GAN TAC-GAN - Text Conditioned Auxiliary Classifier Generative Adversarial Network https://arxiv.org/abs/1703.06412v2 https://github.com/dashayushman/TAC-GAN 3 36 15
2017 3 Triple-GAN Triple Generative Adversarial Nets https://arxiv.org/abs/1703.02291v2 -
2017 3 UNIT Unsupervised Image-to-image Translation Networks https://arxiv.org/abs/1703.00848 https://github.com/mingyuliutw/UNIT 55 1094 201
2017 4 DualGAN DualGAN: Unsupervised Dual Learning for Image-to-Image Translation https://arxiv.org/abs/1704.02510v1 -
2017 4 FF-GAN Towards Large-Pose Face Frontalization in the Wild https://arxiv.org/abs/1704.06244 -
2017 4 GoGAN Gang of GANs: Generative Adversarial Networks with Maximum Margin Ranking https://arxiv.org/abs/1704.04865 -
2017 4 MAD-GAN Multi-Agent Diverse Generative Adversarial Networks https://arxiv.org/abs/1704.02906 -
2017 4 MAGAN MAGAN: Margin Adaptation for Generative Adversarial Networks https://arxiv.org/abs/1704.03817v1 -
2017 4 SL-GAN Semi-Latent GAN: Learning to generate and modify facial images from attributes https://arxiv.org/abs/1704.02166 -
2017 4 Softmax GAN Softmax GAN https://arxiv.org/abs/1704.06191 -
2017 4 TAN Outline Colorization through Tandem Adversarial Networks https://arxiv.org/abs/1704.08834 -
2017 4 TP-GAN Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis https://arxiv.org/abs/1704.04086 -
2017 4 VariGAN Multi-View Image Generation from a Single-View https://arxiv.org/abs/1704.04886 -
2017 4 VAW-GAN Voice Conversion from Unaligned Corpora using Variational Autoencoding Wasserstein Generative Adversarial Networks https://arxiv.org/abs/1704.00849 -
2017 4 WGAN-GP Improved Training of Wasserstein GANs https://arxiv.org/abs/1704.00028 https://github.com/igul222/improved_wgan_training 67 1277 415
2017 4 β-GAN Annealed Generative Adversarial Networks https://arxiv.org/abs/1705.07505 -
2017 5 Bayesian GAN Bayesian GAN https://arxiv.org/abs/1705.09558 https://github.com/andrewgordonwilson/bayesgan/ 53 929 148
2017 5 CaloGAN CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks https://arxiv.org/abs/1705.02355 https://github.com/hep-lbdl/CaloGAN 9 64 26
2017 5 Conditional cycleGAN Conditional CycleGAN for Attribute Guided Face Image Generation https://arxiv.org/abs/1705.09966 -
2017 5 Cramèr GAN The Cramer Distance as a Solution to Biased Wasserstein Gradients https://arxiv.org/abs/1705.10743 -
2017 5 DR-GAN Representation Learning by Rotating Your Faces https://arxiv.org/abs/1705.11136 -
2017 5 DRAGAN How to Train Your DRAGAN https://arxiv.org/abs/1705.07215 https://github.com/kodalinaveen3/DRAGAN 11 143 17
2017 5 ED//GAN Stabilizing Training of Generative Adversarial Networks through Regularization https://arxiv.org/abs/1705.09367 -
2017 5 EGAN Enhanced Experience Replay Generation for Efficient Reinforcement Learning https://arxiv.org/abs/1705.08245 -
2017 5 Fisher GAN Fisher GAN https://arxiv.org/abs/1705.09675 -
2017 5 Flow-GAN Flow-GAN: Bridging implicit and prescribed learning in generative models https://arxiv.org/abs/1705.08868 -
2017 5 GeneGAN GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data https://arxiv.org/abs/1705.04932 https://github.com/Prinsphield/GeneGAN 9 106 22
2017 5 Geometric GAN Geometric GAN https://arxiv.org/abs/1705.02894 -
2017 5 IRGAN IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval models https://arxiv.org/abs/1705.10513v1 -
2017 5 MMD-GAN MMD GAN: Towards Deeper Understanding of Moment Matching Network https://arxiv.org/abs/1705.08584 https://github.com/dougalsutherland/opt-mmd 7 110 34
2017 5 ORGAN Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models https://arxiv.org/abs/1705.10843 -
2017 5 Pose-GAN The Pose Knows: Video Forecasting by Generating Pose Futures https://arxiv.org/abs/1705.00053 -
2017 5 PSGAN Learning Texture Manifolds with the Periodic Spatial GAN http://arxiv.org/abs/1705.06566 -
2017 5 RankGAN Adversarial Ranking for Language Generation https://arxiv.org/abs/1705.11001 -
2017 5 RPGAN Stabilizing GAN Training with Multiple Random Projections https://arxiv.org/abs/1705.07831 https://github.com/ayanc/rpgan 2 15 4
2017 5 RWGAN Relaxed Wasserstein with Applications to GANs https://arxiv.org/abs/1705.07164 -
2017 5 SBADA-GAN From source to target and back: symmetric bi-directional adaptive GAN https://arxiv.org/abs/1705.08824 -
2017 5 SD-GAN Semantically Decomposing the Latent Spaces of Generative Adversarial Networks https://arxiv.org/abs/1705.07904 -
2017 5 VEEGAN VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning https://arxiv.org/abs/1705.07761 https://github.com/akashgit/VEEGAN 2 11 6
2017 5 WS-GAN Weakly Supervised Generative Adversarial Networks for 3D Reconstruction https://arxiv.org/abs/1705.10904 -
2017 6 ARAE Adversarially Regularized Autoencoders for Generating Discrete Structures https://arxiv.org/abs/1706.04223 https://github.com/jakezhaojb/ARAE 17 260 62
2017 6 BCGAN Bayesian Conditional Generative Adverserial Networks https://arxiv.org/abs/1706.05477 -
2017 6 CAN "CAN: Creative Adversarial Networks, Generating Art by Learning About Styles and Deviating from Style Norms" https://arxiv.org/abs/1706.07068 -
2017 6 Chekhov GAN An Online Learning Approach to Generative Adversarial Networks https://arxiv.org/abs/1706.03269 -
2017 6 crVAE-GAN Channel-Recurrent Variational Autoencoders https://arxiv.org/abs/1706.03729 -
2017 6 DeliGAN DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data https://arxiv.org/abs/1706.02071 https://github.com/val-iisc/deligan 4 74 25
2017 6 DistanceGAN One-Sided Unsupervised Domain Mapping https://arxiv.org/abs/1706.00826 -
2017 6 DSP-GAN Depth Structure Preserving Scene Image Generation https://arxiv.org/abs/1706.00212 -
2017 6 Dualing GAN Dualing GANs https://arxiv.org/abs/1706.06216 -
2017 6 Fila-GAN Synthesizing Filamentary Structured Images with GANs https://arxiv.org/abs/1706.02185 -
2017 6 GANCS Deep Generative Adversarial Networks for Compressed Sensing Automates MRI https://arxiv.org/abs/1706.00051 -
2017 6 GMM-GAN Towards Understanding the Dynamics of Generative Adversarial Networks https://arxiv.org/abs/1706.09884 -
2017 6 IWGAN On Unifying Deep Generative Models https://arxiv.org/abs/1706.00550 -
2017 6 PAN Perceptual Adversarial Networks for Image-to-Image Transformation https://arxiv.org/abs/1706.09138 -
2017 6 Perceptual GAN Perceptual Generative Adversarial Networks for Small Object Detection https://arxiv.org/abs/1706.05274 -
2017 6 PixelGAN PixelGAN Autoencoders https://arxiv.org/abs/1706.00531 -
2017 6 RCGAN Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs https://arxiv.org/abs/1706.02633 -
2017 6 RNN-WGAN Language Generation with Recurrent Generative Adversarial Networks without Pre-training https://arxiv.org/abs/1706.01399 https://github.com/amirbar/rnn.wgan 19 205 63
2017 6 SegAN SegAN: Adversarial Network with Multi-scale L1 Loss for Medical Image Segmentation https://arxiv.org/abs/1706.01805 -
2017 6 TextureGAN TextureGAN: Controlling Deep Image Synthesis with Texture Patches https://arxiv.org/abs/1706.02823 -
2017 6 α-GAN Variational Approaches for Auto-Encoding Generative Adversarial Networks https://arxiv.org/abs/1706.04987 https://github.com/victor-shepardson/alpha-GAN 2 51 17
2017 7 3D-IWGAN Improved Adversarial Systems for 3D Object Generation and Reconstruction https://arxiv.org/abs/1707.09557 https://github.com/EdwardSmith1884/3D-IWGAN 7 70 23
2017 7 AE-GAN AE-GAN: adversarial eliminating with GAN https://arxiv.org/abs/1707.05474 -
2017 7 AlignGAN AlignGAN: Learning to Align Cross-Domain Images with Conditional Generative Adversarial Networks https://arxiv.org/abs/1707.01400 -
2017 7 APE-GAN APE-GAN: Adversarial Perturbation Elimination with GAN https://arxiv.org/abs/1707.05474 -
2017 7 ARDA Adversarial Representation Learning for Domain Adaptation https://arxiv.org/abs/1707.01217 -
2017 7 DAN Distributional Adversarial Networks https://arxiv.org/abs/1706.09549 -
2017 7 l-GAN Representation Learning and Adversarial Generation of 3D Point Clouds https://arxiv.org/abs/1707.02392 -
2017 7 LD-GAN Linear Discriminant Generative Adversarial Networks https://arxiv.org/abs/1707.07831 -
2017 7 LeGAN Likelihood Estimation for Generative Adversarial Networks https://arxiv.org/abs/1707.07530 -
2017 7 MMGAN MMGAN: Manifold Matching Generative Adversarial Network for Generating Images https://arxiv.org/abs/1707.08273 -
2017 7 MoCoGAN MoCoGAN: Decomposing Motion and Content for Video Generation https://arxiv.org/abs/1707.04993 https://github.com/sergeytulyakov/mocogan 17 180 47
2017 7 ResGAN Generative Adversarial Network based on Resnet for Conditional Image Restoration https://arxiv.org/abs/1707.04881 -
2017 7 SisGAN Semantic Image Synthesis via Adversarial Learning https://arxiv.org/abs/1707.06873 -
2017 7 ss-InfoGAN Guiding InfoGAN with Semi-Supervision https://arxiv.org/abs/1707.04487 -
2017 7 SSGAN SSGAN: Secure Steganography Based on Generative Adversarial Networks https://arxiv.org/abs/1707.01613 -
2017 7 SteinGAN Learning Deep Energy Models: Contrastive Divergence vs. Amortized MLE https://arxiv.org/abs/1707.00797 -
2017 7 VRAL Variance Regularizing Adversarial Learning https://arxiv.org/abs/1707.00309 -
2017 8 3D-RecGAN 3D Object Reconstruction from a Single Depth View with Adversarial Learning https://arxiv.org/abs/1708.07969 https://github.com/Yang7879/3D-RecGAN 8 65 27
2017 8 ABC-GAN ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks https://drive.google.com/file/d/0B3wEP_lEl0laVTdGcHE2VnRiMlE/view https://github.com/IgorSusmelj/ABC-GAN 1 4 1
2017 8 ASDL-GAN Automatic Steganographic Distortion Learning Using a Generative Adversarial Network https://ieeexplore.ieee.org/document/8017430/ -
2017 8 BGAN Binary Generative Adversarial Networks for Image Retrieval https://arxiv.org/abs/1708.04150 https://github.com/htconquer/BGAN 6 16 15
2017 8 CDcGAN Simultaneously Color-Depth Super-Resolution with Conditional Generative Adversarial Network https://arxiv.org/abs/1708.09105 -
2017 8 CGAN Controllable Generative Adversarial Network https://arxiv.org/abs/1708.00598 -
2017 8 constrast-GAN Generative Semantic Manipulation with Contrasting GAN https://arxiv.org/abs/1708.00315 -
2017 8 Coulomb GAN Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields https://arxiv.org/abs/1708.08819 -
2017 8 DM-GAN Dual Motion GAN for Future-Flow Embedded Video Prediction https://arxiv.org/abs/1708.00284 -
2017 8 GAN-sep GANs for Biological Image Synthesis https://arxiv.org/abs/1708.04692 https://github.com/aosokin/biogans 5 82 12
2017 8 GAN-VFS Generative Adversarial Network-based Synthesis of Visible Faces from Polarimetric Thermal Faces https://arxiv.org/abs/1708.02681 -
2017 8 MGGAN Multi-Generator Generative Adversarial Nets https://arxiv.org/abs/1708.02556 -
2017 8 PGAN Probabilistic Generative Adversarial Networks https://arxiv.org/abs/1708.01886 -
2017 8 SN-GAN Spectral Normalization for Generative Adversarial Networks https://drive.google.com/file/d/0B8HZ50DPgR3eSVV6YlF3XzQxSjQ/view https://github.com/pfnet-research/chainer-gan-lib 33 297 62
2017 8 SS-GAN Semi-supervised Conditional GANs https://arxiv.org/abs/1708.05789 -
2017 8 VIGAN VIGAN: Missing View Imputation with Generative Adversarial Networks https://arxiv.org/abs/1708.06724 -
2017 9 ARIGAN ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network https://arxiv.org/abs/1709.00938 -
2017 9 CausalGAN CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training https://arxiv.org/abs/1709.02023 -
2017 9 D2GAN Dual Discriminator Generative Adversarial Nets http://arxiv.org/abs/1709.03831 -
2017 9 ExposureGAN Exposure: A White-Box Photo Post-Processing Framework https://arxiv.org/abs/1709.09602 https://github.com/yuanming-hu/exposure 12 205 43
2017 9 ExprGAN ExprGAN: Facial Expression Editing with Controllable Expression Intensity https://arxiv.org/abs/1709.03842 -
2017 9 GAMN Generative Adversarial Mapping Networks https://arxiv.org/abs/1709.09820 -
2017 9 GraspGAN Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping https://arxiv.org/abs/1709.07857 -
2017 9 LDAN Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images https://arxiv.org/abs/1709.01993 -
2017 9 LeakGAN Long Text Generation via Adversarial Training with Leaked Information https://arxiv.org/abs/1709.08624 -
2017 9 MD-GAN Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks https://arxiv.org/abs/1709.07592 -
2017 9 MuseGAN MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks https://arxiv.org/abs/1709.06298 -
2017 9 OptionGAN OptionGAN: Learning Joint Reward-Policy Options using Generative Adversarial Inverse Reinforcement Learning https://arxiv.org/abs/1709.06683 -
2017 9 PassGAN PassGAN: A Deep Learning Approach for Password Guessing https://arxiv.org/abs/1709.00440 -
2017 9 RefineGAN Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks https://arxiv.org/abs/1709.00753 -
2017 9 Splitting GAN Class-Splitting Generative Adversarial Networks https://arxiv.org/abs/1709.07359 -
2017 9 Δ-GAN Triangle Generative Adversarial Networks https://arxiv.org/abs/1709.06548 -
2017 10 CM-GAN CM-GANs: Cross-modal Generative Adversarial Networks for Common Representation Learning https://arxiv.org/abs/1710.05106 -
2017 10 GAN-ATV A Novel Approach to Artistic Textual Visualization via GAN https://arxiv.org/abs/1710.10553 -
2017 10 GAP Context-Aware Generative Adversarial Privacy https://arxiv.org/abs/1710.09549 -
2017 10 GP-GAN GP-GAN: Gender Preserving GAN for Synthesizing Faces from Landmarks https://arxiv.org/abs/1710.00962 -
2017 10 Progressive GAN "Progressive Growing of GANs for Improved Quality, Stability, and Variation" https://arxiv.org/abs/1710.10196 https://github.com/tkarras/progressive_growing_of_gans 232 3146 529
2017 10 PS²-GAN High-Quality Facial Photo-Sketch Synthesis Using Multi-Adversarial Networks https://arxiv.org/abs/1710.10182 -
2017 10 SVSGAN SVSGAN: Singing Voice Separation via Generative Adversarial Network https://arxiv.org/abs/1710.11428 -
2017 10 TGAN Tensorizing Generative Adversarial Nets https://arxiv.org/abs/1710.10772 -
2017 11 3D-ED-GAN Shape Inpainting using 3D Generative Adversarial Network and Recurrent Convolutional Networks https://arxiv.org/abs/1711.06375 -
2017 11 ABC-GAN GANs for LIFE: Generative Adversarial Networks for Likelihood Free Inference https://arxiv.org/abs/1711.11139 -
2017 11 ACtuAL ACtuAL: Actor-Critic Under Adversarial Learning https://arxiv.org/abs/1711.04755 -
2017 11 AttGAN Arbitrary Facial Attribute Editing: Only Change What You Want https://arxiv.org/abs/1711.10678 https://github.com/LynnHo/AttGAN-Tensorflow 11 158 19
2017 11 AttnGAN AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks https://arxiv.org/abs/1711.10485 https://github.com/taoxugit/AttnGAN 27 420 97
2017 11 BCGAN Bidirectional Conditional Generative Adversarial networks https://arxiv.org/abs/1711.07461 -
2017 11 BicycleGAN Toward Multimodal Image-to-Image Translation https://arxiv.org/abs/1711.11586 https://github.com/junyanz/BicycleGAN 30 696 113
2017 11 CatGAN CatGAN: Coupled Adversarial Transfer for Domain Generation https://arxiv.org/abs/1711.08904 -
2017 11 CoAtt-GAN Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning https://arxiv.org/abs/1711.07613 -
2017 11 ConceptGAN Learning Compositional Visual Concepts with Mutual Consistency https://arxiv.org/abs/1711.06148 -
2017 11 Cover-GAN Generative Steganography with Kerckhoffs' Principle based on Generative Adversarial Networks https://arxiv.org/abs/1711.04916 -
2017 11 D-GAN Differential Generative Adversarial Networks: Synthesizing Non-linear Facial Variations with Limited Number of Training Data https://arxiv.org/abs/1711.10267 -
2017 11 DAGAN Data Augmentation Generative Adversarial Networks https://arxiv.org/abs/1711.04340 -
2017 11 DeblurGAN DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks https://arxiv.org/abs/1711.07064 https://github.com/KupynOrest/DeblurGAN 35 971 204
2017 11 DNA-GAN DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images https://arxiv.org/abs/1711.05415 -
2017 11 DRPAN Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation https://arxiv.org/abs/1711.09554 -
2017 11 FIGAN Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks https://arxiv.org/abs/1711.06045 -
2017 11 FSEGAN Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition https://arxiv.org/abs/1711.05747 -
2017 11 FTGAN Hierarchical Video Generation from Orthogonal Information: Optical Flow and Texture https://arxiv.org/abs/1711.09618 -
2017 11 GANDI Guiding the search in continuous state-action spaces by learning an action sampling distribution from off-target samples https://arxiv.org/abs/1711.01391 -
2017 11 GPU A generative adversarial framework for positive-unlabeled classification https://arxiv.org/abs/1711.08054 -
2017 11 HAN Chinese Typeface Transformation with Hierarchical Adversarial Network https://arxiv.org/abs/1711.06448 -
2017 11 HP-GAN HP-GAN: Probabilistic 3D human motion prediction via GAN https://arxiv.org/abs/1711.09561 -
2017 11 HR-DCGAN High-Resolution Deep Convolutional Generative Adversarial Networks https://arxiv.org/abs/1711.06491 -
2017 11 IFcVAEGAN Conditional Autoencoders with Adversarial Information Factorization https://arxiv.org/abs/1711.05175 -
2017 11 In2I In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks https://arxiv.org/abs/1711.09334 -
2017 11 Iterative-GAN Two Birds with One Stone: Iteratively Learn Facial Attributes with GANs https://arxiv.org/abs/1711.06078 https://github.com/punkcure/Iterative-GAN 1 8 4
2017 11 IVE-GAN IVE-GAN: Invariant Encoding Generative Adversarial Networks https://arxiv.org/abs/1711.08646 -
2017 11 iVGAN Towards an Understanding of Our World by GANing Videos in the Wild https://arxiv.org/abs/1711.11453 https://github.com/bernhard2202/improved-video-gan 7 290 28
2017 11 KBGAN KBGAN: Adversarial Learning for Knowledge Graph Embeddings https://arxiv.org/abs/1711.04071 -
2017 11 KGAN KGAN: How to Break The Minimax Game in GAN https://arxiv.org/abs/1711.01744 -
2017 11 LGAN Global versus Localized Generative Adversarial Nets https://arxiv.org/abs/1711.06020 -
2017 11 MLGAN Metric Learning-based Generative Adversarial Network https://arxiv.org/abs/1711.02792 -
2017 11 ORGAN 3D Reconstruction of Incomplete Archaeological Objects Using a Generative Adversary Network https://arxiv.org/abs/1711.06363 -
2017 11 Pip-GAN Pipeline Generative Adversarial Networks for Facial Images Generation with Multiple Attributes https://arxiv.org/abs/1711.10742 -
2017 11 pix2pixHD High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs https://arxiv.org/abs/1711.11585 https://github.com/NVIDIA/pix2pixHD 116 2426 424
2017 11 Sobolev GAN Sobolev GAN https://arxiv.org/abs/1711.04894 -
2017 11 StarGAN StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation https://arxiv.org/abs/1711.09020 https://github.com/yunjey/StarGAN 109 3047 491
2017 11 TGAN Tensor-Generative Adversarial Network with Two-dimensional Sparse Coding: Application to Real-time Indoor Localization https://arxiv.org/abs/1711.02666 -
2017 11 tripletGAN TripletGAN: Training Generative Model with Triplet Loss https://arxiv.org/abs/1711.05084 -
2017 11 VA-GAN Visual Feature Attribution using Wasserstein GANs https://arxiv.org/abs/1711.08998 -
2017 11 XGAN XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings https://arxiv.org/abs/1711.05139 -
2017 11 ZipNet-GAN ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network https://arxiv.org/abs/1711.02413 -
2017 12 ACGAN Coverless Information Hiding Based on Generative adversarial networks https://arxiv.org/abs/1712.06951 -
2017 12 CA-GAN Composition-aided Sketch-realistic Portrait Generation https://arxiv.org/abs/1712.00899 -
2017 12 ComboGAN ComboGAN: Unrestrained Scalability for Image Domain Translation https://arxiv.org/abs/1712.06909 https://github.com/AAnoosheh/ComboGAN 5 84 15
2017 12 DF-GAN Learning Disentangling and Fusing Networks for Face Completion Under Structured Occlusions https://arxiv.org/abs/1712.04646 -
2017 12 Dynamics Transfer GAN Dynamics Transfer GAN: Generating Video by Transferring Arbitrary Temporal Dynamics from a Source Video to a Single Target Image https://arxiv.org/abs/1712.03534 -
2017 12 EnergyWGAN Energy-relaxed Wassertein GANs (EnergyWGAN): Towards More Stable and High Resolution Image Generation https://arxiv.org/abs/1712.01026 -
2017 12 ExGAN Eye In-Painting with Exemplar Generative Adversarial Networks https://arxiv.org/abs/1712.03999 -
2017 12 f-CLSWGAN Feature Generating Networks for Zero-Shot Learning https://arxiv.org/abs/1712.00981 -
2017 12 FusionGAN Learning to Fuse Music Genres with Generative Adversarial Dual Learning https://arxiv.org/abs/1712.01456 -
2017 12 G2-GAN Geometry Guided Adversarial Facial Expression Synthesis https://arxiv.org/abs/1712.03474 -
2017 12 GAGAN GAGAN: Geometry-Aware Generative Adverserial Networks https://arxiv.org/abs/1712.00684 -
2017 12 GAN-RS Towards Qualitative Advancement of Underwater Machine Vision with Generative Adversarial Networks https://arxiv.org/abs/1712.00736 -
2017 12 GANG GANGs: Generative Adversarial Network Games https://arxiv.org/abs/1712.00679 -
2017 12 GANosaic GANosaic: Mosaic Creation with Generative Texture Manifolds https://arxiv.org/abs/1712.00269 -
2017 12 IdCycleGAN Face Translation between Images and Videos using Identity-aware CycleGAN https://arxiv.org/abs/1712.00971 -
2017 12 manifold-WGAN Manifold-valued Image Generation with Wasserstein Adversarial Networks https://arxiv.org/abs/1712.01551 -
2017 12 MC-GAN Multi-Content GAN for Few-Shot Font Style Transfer https://arxiv.org/abs/1712.00516 https://github.com/azadis/MC-GAN 9 167 54
2017 12 MIL-GAN Multimodal Storytelling via Generative Adversarial Imitation Learning https://arxiv.org/abs/1712.01455 -
2017 12 MS-GAN Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks http://papers.nips.cc/paper/7014-temporal-coherency-based-criteria-for-predicting-video-frames-using-deep-multi-stage-generative-adversarial-networks -
2017 12 PacGAN PacGAN: The power of two samples in generative adversarial networks https://arxiv.org/abs/1712.04086 -
2017 12 PN-GAN Pose-Normalized Image Generation for Person Re-identification https://arxiv.org/abs/1712.02225 -
2017 12 PPAN Privacy-Preserving Adversarial Networks https://arxiv.org/abs/1712.07008 -
2017 12 RAN RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment https://arxiv.org/abs/1712.05444
2017 12 SGAN SGAN: An Alternative Training of Generative Adversarial Networks https://arxiv.org/abs/1712.02330 -
2017 12 SRPGAN SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution https://arxiv.org/abs/1712.05927 -
2017 12 ST-CGAN Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal https://arxiv.org/abs/1712.02478 -
2017 12 Super-FAN Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs https://arxiv.org/abs/1712.02765 -
2017 12 TV-GAN TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition https://arxiv.org/abs/1712.02514 -
2017 12 UGACH Unsupervised Generative Adversarial Cross-modal Hashing https://arxiv.org/abs/1712.00358 -
2017 12 UV-GAN UV-GAN: Adversarial Facial UV Map Completion for Pose-invariant Face Recognition https://arxiv.org/abs/1712.04695 -
2017 12 VGAN Text Generation Based on Generative Adversarial Nets with Latent Variable https://arxiv.org/abs/1712.00170 -
2017 12 weGAN Generative Adversarial Nets for Multiple Text Corpora https://arxiv.org/abs/1712.09127 -
2018 1 AdvGAN Generating adversarial examples with adversarial networks https://arxiv.org/abs/1801.02610 -
2018 1 CFG-GAN Composite Functional Gradient Learning of Generative Adversarial Models https://arxiv.org/abs/1801.06309 -
2018 1 CipherGAN Unsupervised Cipher Cracking Using Discrete GANs https://arxiv.org/abs/1801.04883 -
2018 1 Cross-GAN Crossing Generative Adversarial Networks for Cross-View Person Re-identification https://arxiv.org/abs/1801.01760 -
2018 1 dp-GAN Differentially Private Releasing via Deep Generative Model https://arxiv.org/abs/1801.01594 -
2018 1 ecGAN eCommerceGAN : A Generative Adversarial Network for E-commerce https://arxiv.org/abs/1801.03244 -
2018 1 FusedGAN Semi-supervised FusedGAN for Conditional Image Generation https://arxiv.org/abs/1801.05551 -
2018 1 GeoGAN Generating Instance Segmentation Annotation by Geometry-guided GAN https://arxiv.org/abs/1801.08839 -
2018 1 GLCA-GAN Global and Local Consistent Age Generative Adversarial Networks https://arxiv.org/abs/1801.08390 -
2018 1 LAC-GAN Grounded Language Understanding for Manipulation Instructions Using GAN-Based Classification https://arxiv.org/abs/1801.05096 -
2018 1 MaskGAN MaskGAN: Better Text Generation via Filling in the ______ https://arxiv.org/abs/1801.07736 -
2018 1 SG-GAN Semantic-aware Grad-GAN for Virtual-to-Real Urban Scene Adaption https://arxiv.org/abs/1801.01726 https://github.com/Peilun-Li/SG-GAN 5 36 8
2018 1 SketchyGAN SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis https://arxiv.org/abs/1801.02753 -
2018 1 tempoGAN "tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow" https://arxiv.org/abs/1801.09710 -
2018 1 UGAN Enhancing Underwater Imagery using Generative Adversarial Networks https://arxiv.org/abs/1801.04011 -
2018 2 AmbientGAN AmbientGAN: Generative models from lossy measurements https://openreview.net/forum?id=Hy7fDog0b https://github.com/AshishBora/ambient-gan 2 57 17
2018 2 ATA-GAN Attention-Aware Generative Adversarial Networks (ATA-GANs) https://arxiv.org/abs/1802.09070 -
2018 2 C-GAN Face Aging with Contextual Generative Adversarial Nets https://arxiv.org/abs/1802.00237 -
2018 2 CapsuleGAN CapsuleGAN: Generative Adversarial Capsule Network http://arxiv.org/abs/1802.06167 -
2018 2 DA-GAN DA-GAN: Instance-level Image Translation by Deep Attention Generative Adversarial Networks (with Supplementary Materials) http://arxiv.org/abs/1802.06454 -
2018 2 DP-GAN DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text https://arxiv.org/abs/1802.01345 -
2018 2 DPGAN Differentially Private Generative Adversarial Network http://arxiv.org/abs/1802.06739 -
2018 2 First Order GAN First Order Generative Adversarial Networks https://arxiv.org/abs/1802.04591 https://github.com/zalandoresearch/first_order_gan 5 23 7
2018 2 GC-GAN Geometry-Contrastive Generative Adversarial Network for Facial Expression Synthesis https://arxiv.org/abs/1802.01822 -
2018 2 LB-GAN Load Balanced GANs for Multi-view Face Image Synthesis http://arxiv.org/abs/1802.07447 -
2018 2 MAGAN MAGAN: Aligning Biological Manifolds https://arxiv.org/abs/1803.00385 -
2018 2 ND-GAN Novelty Detection with GAN https://arxiv.org/abs/1802.10560 -
2018 2 PGD-GAN Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees https://arxiv.org/abs/1802.08406 -
2018 2 RadialGAN RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks http://arxiv.org/abs/1802.06403 -
2018 2 SAR-GAN Generating High Quality Visible Images from SAR Images Using CNNs https://arxiv.org/abs/1802.10036 -
2018 2 SCH-GAN SCH-GAN: Semi-supervised Cross-modal Hashing by Generative Adversarial Network https://arxiv.org/abs/1802.02488 -
2018 2 StainGAN StainGAN: Stain Style Transfer for Digital Histological Images https://arxiv.org/abs/1804.01601 -
2018 2 SWGAN Solving Approximate Wasserstein GANs to Stationarity https://arxiv.org/abs/1802.08249 -
2018 2 VoiceGAN Voice Impersonation using Generative Adversarial Networks http://arxiv.org/abs/1802.06840 -
2018 2 WaveGAN Synthesizing Audio with Generative Adversarial Networks https://arxiv.org/abs/1802.04208 -
2018 3 Attention-GAN Attention-GAN for Object Transfiguration in Wild Images https://arxiv.org/abs/1803.06798 -
2018 3 B-DCGAN B-DCGAN:Evaluation of Binarized DCGAN for FPGA https://arxiv.org/abs/1803.10930 -
2018 3 BAGAN BAGAN: Data Augmentation with Balancing GAN https://arxiv.org/abs/1803.09655 -
2018 3 BranchGAN Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning https://arxiv.org/abs/1803.08467 -
2018 3 D2IA-GAN Tagging like Humans: Diverse and Distinct Image Annotation https://arxiv.org/abs/1804.00113 -
2018 3 DBLRGAN Adversarial Spatio-Temporal Learning for Video Deblurring https://arxiv.org/abs/1804.00533 -
2018 3 E-GAN Evolutionary Generative Adversarial Networks https://arxiv.org/abs/1803.00657 -
2018 3 ELEGANT ELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes https://arxiv.org/abs/1803.10562 -
2018 3 Fictitious GAN Fictitious GAN: Training GANs with Historical Models https://arxiv.org/abs/1803.08647 -
2018 3 GAAN Generative Adversarial Autoencoder Networks https://arxiv.org/abs/1803.08887 -
2018 3 GONet GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation https://arxiv.org/abs/1803.03254 -
2018 3 memoryGAN Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks https://arxiv.org/abs/1803.01500 -
2018 3 MTGAN MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks https://arxiv.org/abs/1803.09059 -
2018 3 NCE-GAN Dihedral angle prediction using generative adversarial networks https://arxiv.org/abs/1803.10996 -
2018 3 NetGAN NetGAN: Generating Graphs via Random Walks https://arxiv.org/abs/1803.00816 -
2018 3 OCAN One-Class Adversarial Nets for Fraud Detection https://arxiv.org/abs/1803.01798 -
2018 3 OT-GAN Improving GANs Using Optimal Transport https://arxiv.org/abs/1803.05573 -
2018 3 PGGAN Patch-Based Image Inpainting with Generative Adversarial Networks https://arxiv.org/abs/1803.07422 -
2018 3 Sdf-GAN Sdf-GAN: Semi-supervised Depth Fusion with Multi-scale Adversarial Networks https://arxiv.org/abs/1803.06657 -
2018 3 Social GAN Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks https://arxiv.org/abs/1803.10892 -
2018 3 Spike-GAN Synthesizing realistic neural population activity patterns using Generative Adversarial Networks https://arxiv.org/abs/1803.00338 -
2018 3 ST-GAN ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing https://arxiv.org/abs/1803.01837 -
2018 3 Text2Shape Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings https://arxiv.org/abs/1803.08495 -
2018 3 tiny-GAN Analysis of Nonautonomous Adversarial Systems https://arxiv.org/abs/1803.05045 -
2018 3 VOS-GAN VOS-GAN: Adversarial Learning of Visual-Temporal Dynamics for Unsupervised Dense Prediction in Videos https://arxiv.org/abs/1803.09092 -
2018 4 3D-PhysNet 3D-PhysNet: Learning the Intuitive Physics of Non-Rigid Object Deformations https://arxiv.org/abs/1805.00328 -
2018 4 AF-DCGAN AF-DCGAN: Amplitude Feature Deep Convolutional GAN for Fingerprint Construction in Indoor Localization System https://arxiv.org/abs/1804.05347 -
2018 4 BEAM Boltzmann Encoded Adversarial Machines https://arxiv.org/abs/1804.08682 -
2018 4 CorrGAN Correlated discrete data generation using adversarial training https://arxiv.org/abs/1804.00925 -
2018 4 D-WCGAN I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification https://arxiv.org/abs/1804.00290 -
2018 4 Defo-Net Defo-Net: Learning Body Deformation using Generative Adversarial Networks https://arxiv.org/abs/1804.05928 -
2018 4 DSH-GAN Deep Semantic Hashing with Generative Adversarial Networks https://arxiv.org/abs/1804.08275 -
2018 4 DTR-GAN DTR-GAN: Dilated Temporal Relational Adversarial Network for Video Summarization https://arxiv.org/abs/1804.11228 -
2018 4 DVGAN Human Motion Modeling using DVGANs https://arxiv.org/abs/1804.10652 -
2018 4 EAR Generative Model for Heterogeneous Inference https://arxiv.org/abs/1804.09858 -
2018 4 FBGAN Feedback GAN (FBGAN) for DNA: a Novel Feedback-Loop Architecture for Optimizing Protein Functions https://arxiv.org/abs/1804.01694 -
2018 4 FusionGAN Generating a Fusion Image: One's Identity and Another's Shape https://arxiv.org/abs/1804.07455 -
2018 4 Graphical-GAN Graphical Generative Adversarial Networks https://arxiv.org/abs/1804.03429 -
2018 4 IterGAN IterGANs: Iterative GANs to Learn and Control 3D Object Transformation https://arxiv.org/abs/1804.05651 -
2018 4 M-AAE Mask-aware Photorealistic Face Attribute Manipulation https://arxiv.org/abs/1804.08882 -
2018 4 MelanoGAN MelanoGANs: High Resolution Skin Lesion Synthesis with GANs https://arxiv.org/abs/1804.04338 -
2018 4 MGGAN MGGAN: Solving Mode Collapse using Manifold Guided Training https://arxiv.org/abs/1804.04391 -
2018 4 ModularGAN Modular Generative Adversarial Networks https://arxiv.org/abs/1804.03343 -
2018 4 NAN Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing https://arxiv.org/abs/1804.03287 -
2018 4 PM-GAN PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities https://arxiv.org/abs/1804.06248 -
2018 4 ProGanSR A Fully Progressive Approach to Single-Image Super-Resolution https://arxiv.org/abs/1804.02900 -
2018 4 PS-GAN Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond https://arxiv.org/abs/1804.02047 -
2018 4 ReConNN Reconstruction of Simulation-Based Physical Field with Limited Samples by Reconstruction Neural Network https://arxiv.org/abs/1805.00528 -
2018 4 SAGA Generative Adversarial Learning for Spectrum Sensing https://arxiv.org/abs/1804.00709 -
2018 4 sGAN Generative Adversarial Training for MRA Image Synthesis Using Multi-Contrast MRI https://arxiv.org/abs/1804.04366 -
2018 4 Sketcher-Refiner GAN Learning Myelin Content in Multiple Sclerosis from Multimodal MRI through Adversarial Training https://arxiv.org/abs/1804.08039 -
2018 4 SyncGAN SyncGAN: Synchronize the Latent Space of Cross-modal Generative Adversarial Networks https://arxiv.org/abs/1804.00410 -
2018 4 TGANs-C To Create What You Tell: Generating Videos from Captions https://arxiv.org/abs/1804.08264 -
2018 4 UT-SCA-GAN Spatial Image Steganography Based on Generative Adversarial Network https://arxiv.org/abs/1804.07939 -
2018 5 AdvEntuRe AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples https://arxiv.org/abs/1805.04680 -
2018 5 AVID AVID: Adversarial Visual Irregularity Detection https://arxiv.org/abs/1805.09521 -
2018 5 BourGAN BourGAN: Generative Networks with Metric Embeddings https://arxiv.org/abs/1805.07674 -
2018 5 BRE Improving GAN Training via Binarized Representation Entropy (BRE) Regularization https://arxiv.org/abs/1805.03644 https://github.com/BorealisAI/bre-gan 3 7 2
2018 5 cd-GAN Conditional Image-to-Image Translation https://arxiv.org/abs/1805.00251 -
2018 5 cowboy Defending Against Adversarial Attacks by Leveraging an Entire GAN https://arxiv.org/abs/1805.10652 -
2018 5 CSG Speech-Driven Expressive Talking Lips with Conditional Sequential Generative Adversarial Networks https://arxiv.org/abs/1806.00154 -
2018 5 Defense-GAN Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models https://arxiv.org/abs/1805.06605 https://github.com/kabkabm/defensegan 2 35 8
2018 5 DialogWAE DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder https://arxiv.org/abs/1805.12352 -
2018 5 DTLC-GAN Generative Adversarial Image Synthesis with Decision Tree Latent Controller https://arxiv.org/abs/1805.10603 -
2018 5 FairGAN FairGAN: Fairness-aware Generative Adversarial Networks https://arxiv.org/abs/1805.11202 -
2018 5 Fairness GAN Fairness GAN https://arxiv.org/abs/1805.09910 -
2018 5 FakeGAN Detecting Deceptive Reviews using Generative Adversarial Networks https://arxiv.org/abs/1805.10364 -
2018 5 FBGAN Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference https://arxiv.org/abs/1805.07862 -
2018 5 FC-GAN Fast-converging Conditional Generative Adversarial Networks for Image Synthesis https://arxiv.org/abs/1805.01972 -
2018 5 GAF Generative Adversarial Forests for Better Conditioned Adversarial Learning https://arxiv.org/abs/1805.05185 -
2018 5 GAN Q-learning GAN Q-learning https://arxiv.org/abs/1805.04874 -
2018 5 GAN-SD Virtual-Taobao: Virtualizing Real-world Online Retail Environment for Reinforcement Learning https://arxiv.org/abs/1805.10000 -
2018 5 GAN-Word2Vec Adversarial Training of Word2Vec for Basket Completion https://arxiv.org/abs/1805.08720 -
2018 5 GANAX GANAX: A Unified MIMD-SIMD Acceleration for Generative Adversarial Networks https://arxiv.org/abs/1806.01107 -
2018 5 GT-GAN Deep Graph Translation https://arxiv.org/abs/1805.09980 -
2018 5 HAN Bidirectional Learning for Robust Neural Networks https://arxiv.org/abs/1805.08006 -
2018 5 HiGAN Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks https://arxiv.org/abs/1805.04384 -
2018 5 hredGAN Multi-turn Dialogue Response Generation in an Adversarial Learning framework https://arxiv.org/abs/1805.11752 -
2018 5 MC-GAN MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis https://arxiv.org/abs/1805.01123 -
2018 5 MEGAN MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation https://arxiv.org/abs/1805.02481 -
2018 5 MolGAN MolGAN: An implicit generative model for small molecular graphs https://arxiv.org/abs/1805.11973 -
2018 5 N2RPP N2RPP: An Adversarial Network to Rebuild Plantar Pressure for ACLD Patients https://arxiv.org/abs/1805.02825 -
2018 5 PD-WGAN Primal-Dual Wasserstein GAN https://arxiv.org/abs/1805.09575 -
2018 5 POGAN Perceptually Optimized Generative Adversarial Network for Single Image Dehazing https://arxiv.org/abs/1805.01084 -
2018 5 PSGAN PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening https://arxiv.org/abs/1805.03371 -
2018 5 ReGAN ReGAN: RE[LAX|BAR|INFORCE] based Sequence Generation using GANs https://arxiv.org/abs/1805.02788 https://github.com/TalkToTheGAN/REGAN 2 24 2
2018 5 RegCGAN Unpaired Multi-Domain Image Generation via Regularized Conditional GANs https://arxiv.org/abs/1805.02456 -
2018 5 RoCGAN Robust Conditional Generative Adversarial Networks https://arxiv.org/abs/1805.08657 -
2018 5 SAGAN Self-Attention Generative Adversarial Networks https://arxiv.org/abs/1805.08318 -
2018 5 SG-GAN Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation https://arxiv.org/abs/1805.07509 -
2018 5 speech-driven animation GAN End-to-End Speech-Driven Facial Animation with Temporal GANs https://arxiv.org/abs/1805.09313 -
2018 5 WGAN-CLS Text to Image Synthesis Using Generative Adversarial Networks https://arxiv.org/abs/1805.00676 -
2018 6 Adaptive GAN Customizing an Adversarial Example Generator with Class-Conditional GANs https://arxiv.org/abs/1806.10496 -
2018 6 APD Adversarial Distillation of Bayesian Neural Network Posteriors https://arxiv.org/abs/1806.10317 -
2018 6 BinGAN BinGAN: Learning Compact Binary Descriptors with a Regularized GAN https://arxiv.org/abs/1806.06778 -
2018 6 BWGAN Banach Wasserstein GAN https://arxiv.org/abs/1806.06621 -
2018 6 CapsGAN CapsGAN: Using Dynamic Routing for Generative Adversarial Networks https://arxiv.org/abs/1806.03968 -
2018 6 CR-GAN CR-GAN: Learning Complete Representations for Multi-view Generation https://arxiv.org/abs/1806.11191 -
2018 6 DMGAN Disconnected Manifold Learning for Generative Adversarial Networks https://arxiv.org/abs/1806.00880 -
2018 6 EL-GAN EL-GAN: Embedding Loss Driven Generative Adversarial Networks for Lane Detection https://arxiv.org/abs/1806.05525 -
2018 6 FrankenGAN rankenGAN: Guided Detail Synthesis for Building Mass-Models Using Style-Synchonized GANs https://arxiv.org/abs/1806.07179 -
2018 6 GAIN GAIN: Missing Data Imputation using Generative Adversarial Nets https://arxiv.org/abs/1806.02920 -
2018 6 GANG Beyond Local Nash Equilibria for Adversarial Networks https://arxiv.org/abs/1806.07268 -
2018 6 GATS Sample-Efficient Deep RL with Generative Adversarial Tree Search https://arxiv.org/abs/1806.05780 -
2018 6 IR2VI IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Image Translation https://arxiv.org/abs/1806.09565 -
2018 6 IRGAN Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances https://arxiv.org/abs/1806.03577 -
2018 6 JointGAN JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets https://arxiv.org/abs/1806.02978 -
2018 6 JR-GAN JR-GAN: Jacobian Regularization for Generative Adversarial Networks https://arxiv.org/abs/1806.09235 -
2018 6 LCC-GAN Adversarial Learning with Local Coordinate Coding https://arxiv.org/abs/1806.04895 -
2018 6 MedGAN MedGAN: Medical Image Translation using GANs https://arxiv.org/abs/1806.06397 -
2018 6 MMC-GAN A Multimodal Classifier Generative Adversarial Network for Carry and Place Tasks from Ambiguous Language Instructions https://arxiv.org/abs/1806.03847 -
2018 6 Modified GAN-CLS Generate the corresponding Image from Text Description using Modified GAN-CLS Algorithm https://arxiv.org/abs/1806.11302 -
2018 6 PP-GAN Privacy-Protective-GAN for Face De-identification https://arxiv.org/abs/1806.08906 -
2018 6 SeUDA Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation https://arxiv.org/abs/1806.00600 -
2018 6 SN-DCGAN Generative Adversarial Networks for Unsupervised Object Co-localization https://arxiv.org/abs/1806.00236 -
2018 6 SN-PatchGAN Free-Form Image Inpainting with Gated Convolution https://arxiv.org/abs/1806.03589 -
2018 6 SoPhie SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints https://arxiv.org/abs/1806.01482 -
2018 6 SR-CNN-VAE-GAN Semi-Recurrent CNN-based VAE-GAN for Sequential Data Generation https://arxiv.org/abs/1806.00509 https://github.com/makbari7/SR-CNN-VAE-GAN 2 8 3
2018 6 StarGAN-VC StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks https://arxiv.org/abs/1806.02169 -
2018 6 table-GAN Data Synthesis based on Generative Adversarial Networks https://arxiv.org/abs/1806.03384 -
2018 6 tcGAN Cross-modal Hallucination for Few-shot Fine-grained Recognition https://arxiv.org/abs/1806.05147 -
2018 6 TD-GAN Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation https://arxiv.org/abs/1806.07201 -
2018 6 tempCycleGAN Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries https://arxiv.org/abs/1806.03627 -
2018 6 VAC+GAN "Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN), Multi Class Scenarios" https://arxiv.org/abs/1806.07751 -
2018 7 acGAN On-line Adaptative Curriculum Learning for GANs https://arxiv.org/abs/1808.00020 -
2018 7 AlphaGAN AlphaGAN: Generative adversarial networks for natural image matting https://arxiv.org/abs/1807.10088 -
2018 7 AMC-GAN Video Prediction with Appearance and Motion Conditions https://arxiv.org/abs/1807.02635 -
2018 7 CE-GAN Deep Learning for Imbalance Data Classification using Class Expert Generative Adversarial Network https://arxiv.org/abs/1807.04585 -
2018 7 ciGAN Conditional Infilling GANs for Data Augmentation in Mammogram Classification https://arxiv.org/abs/1807.08093 -
2018 7 CT-GAN CT-GAN: Conditional Transformation Generative Adversarial Network for Image Attribute Modification https://arxiv.org/abs/1807.04812 -
2018 7 DE-GAN Generative Adversarial Networks with Decoder-Encoder Output Noise https://arxiv.org/abs/1807.03923 -
2018 7 Dropout-GAN Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators https://arxiv.org/abs/1807.11346 -
2018 7 Editable GAN Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously https://arxiv.org/abs/1807.07700 -
2018 7 FGGAN Adversarial Learning for Fine-grained Image Search https://arxiv.org/abs/1807.02247 -
2018 7 GAIA Generative adversarial interpolative autoencoding: adversarial training on latent space interpolations encourage convex latent distributions https://arxiv.org/abs/1807.06650 -
2018 7 GAP Generative Adversarial Privacy https://arxiv.org/abs/1807.05306 -
2018 7 IntroVAE IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis https://arxiv.org/abs/1807.06358 -
2018 7 ISGAN Invisible Steganography via Generative Adversarial Network https://arxiv.org/abs/1807.08571 -
2018 7 LBT Learning Implicit Generative Models by Teaching Explicit Ones https://arxiv.org/abs/1807.03870 -
2018 7 Lipizzaner Towards Distributed Coevolutionary GANs https://arxiv.org/abs/1807.08194 -
2018 7 MIXGAN MIXGAN: Learning Concepts from Different Domains for Mixture Generation https://arxiv.org/abs/1807.01659 -
2018 7 PIONEER Pioneer Networks: Progressively Growing Generative Autoencoder https://arxiv.org/abs/1807.03026 -
2018 7 RaGAN The relativistic discriminator: a key element missing from standard GAN https://arxiv.org/abs/1807.00734 -
2018 7 Resembled GAN Resembled Generative Adversarial Networks: Two Domains with Similar Attributes https://arxiv.org/abs/1807.00947 -
2018 7 sAOG Deep Structured Generative Models https://arxiv.org/abs/1807.03877 -
2018 7 Sem-GAN Sem-GAN: Semantically-Consistent Image-to-Image Translation https://arxiv.org/abs/1807.04409 -
2018 7 SGAN CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement https://arxiv.org/abs/1807.07144 -
2018 7 SiGAN SiGAN: Siamese Generative Adversarial Network for Identity-Preserving Face Hallucination https://arxiv.org/abs/1807.08370 -
2018 7 TequilaGAN TequilaGAN: How to easily identify GAN samples https://arxiv.org/abs/1807.04919 -
2018 7 WGAN-L1 Subsampled Turbulence Removal Network https://arxiv.org/abs/1807.04418 -
2018 8 BEGAN-CS Escaping from Collapsing Modes in a Constrained Space https://arxiv.org/abs/1808.07258 -
2018 8 Bellman GAN Distributional Multivariate Policy Evaluation and Exploration with the Bellman GAN https://arxiv.org/abs/1808.01960 -
2018 8 BridgeGAN Generative Adversarial Frontal View to Bird View Synthesis https://arxiv.org/abs/1808.00327 -
2018 8 DOPING DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN https://arxiv.org/abs/1808.07632 -
2018 8 GIN Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation https://arxiv.org/abs/1808.04495 -
2018 8 GM-GAN "Gaussian Mixture Generative Adversarial Networks for Diverse Datasets, and the Unsupervised Clustering of Images" https://arxiv.org/abs/1808.10356 -
2018 8 ISP-GPM Inner Space Preserving Generative Pose Machine https://arxiv.org/abs/1808.02104 -
2018 8 MinLGAN Anomaly Detection via Minimum Likelihood Generative Adversarial Networks https://arxiv.org/abs/1808.00200 -
2018 8 Recycle-GAN Recycle-GAN: Unsupervised Video Retargeting https://arxiv.org/abs/1808.05174 -
2018 8 ScarGAN ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR Scans https://arxiv.org/abs/1808.04500 -
2018 8 Skip-Thought GAN Generating Text through Adversarial Training using Skip-Thought Vectors https://arxiv.org/abs/1808.08703 -
2018 8 StepGAN Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation https://arxiv.org/abs/1808.05599 -
2018 8 T2Net T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation Tasks https://arxiv.org/abs/1808.01454 -
2018 8 TreeGAN TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks https://arxiv.org/abs/1808.07582 -
2018 8 X-GANs X-GANs: Image Reconstruction Made Easy for Extreme Cases https://arxiv.org/abs/1808.04432 -
2018 9 AE-OT Latent Space Optimal Transport for Generative Models https://arxiv.org/abs/1809.05964 -
2018 9 AIM Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization https://arxiv.org/abs/1809.05972 -
2018 9 Bi-GAN Autonomously and Simultaneously Refining Deep Neural Network Parameters by a Bi-Generative Adversarial Network Aided Genetic Algorithm https://arxiv.org/abs/1809.10244 -
2018 9 BubGAN BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images https://arxiv.org/abs/1809.02266 -
2018 9 CinCGAN Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks https://arxiv.org/abs/1809.00437 -
2018 9 ClusterGAN ClusterGAN : Latent Space Clustering in Generative Adversarial Networks https://arxiv.org/abs/1809.03627 -
2018 9 DADA DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification https://arxiv.org/abs/1809.00981 -
2018 9 DeepFD Learning to Detect Fake Face Images in the Wild https://arxiv.org/abs/1809.08754 -
2018 9 ESRGAN ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks https://arxiv.org/abs/1809.00219 -
2018 9 GAN Lab GAN Lab: Understanding Complex Deep Generative Models using Interactive Visual Experimentation https://arxiv.org/abs/1809.01587 -
2018 9 GAN-AD Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series https://arxiv.org/abs/1809.04758 -
2018 9 GANVO GANVO: Unsupervised Deep Monocular Visual Odometry and Depth Estimation with Generative Adversarial Networks https://arxiv.org/abs/1809.05786 -
2018 9 GcGAN Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping https://arxiv.org/abs/1809.05852 -
2018 9 GraphSGAN Semi-supervised Learning on Graphs with Generative Adversarial Nets https://arxiv.org/abs/1809.00130 -
2018 9 IGMM-GAN Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data https://arxiv.org/abs/1809.02728 -
2018 9 MeRGAN Memory Replay GANs: learning to generate images from new categories without forgetting https://arxiv.org/abs/1809.02058 -
2018 9 SAM Sample-Efficient Imitation Learning via Generative Adversarial Nets https://arxiv.org/abs/1809.02064 -
2018 9 SiftingGAN SiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro https://arxiv.org/abs/1809.04985 -
2018 9 SLSR Sparse Label Smoothing for Semi-supervised Person Re-Identification https://arxiv.org/abs/1809.04976 -
2018 9 Twin-GAN Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing GANs https://arxiv.org/abs/1809.00946 -
2018 9 WaveletGLCA-GAN Global and Local Consistent Wavelet-domain Age Synthesis https://arxiv.org/abs/1809.07764 -
================================================
FILE: requirements.txt
================================================
astroid==2.0.4
beautifulsoup4==4.6.3
bs4==0.0.1
certifi==2018.8.24
chardet==3.0.4
cycler==0.10.0
idna==2.7
isort==4.3.4
Jinja2==2.10
kiwisolver==1.0.1
lazy-object-proxy==1.3.1
MarkupSafe==1.0
matplotlib==2.2.3
mccabe==0.6.1
numpy==1.15.1
Pillow==5.2.0
pylint==2.1.1
pyparsing==2.2.0
python-dateutil==2.7.3
pytz==2018.5
requests==2.19.1
six==1.11.0
typed-ast==1.1.0
urllib3==1.23
wrapt==1.10.11
================================================
FILE: update.py
================================================
# -*- coding: utf-8 -*-
""" Update Readme.md and cumulative_gans.jpg """
from __future__ import print_function
from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
from bs4 import BeautifulSoup
import requests
import csv
def load_data():
""" Load GANs data from the gans.csv file """
with open('gans.tsv') as fid:
reader = csv.DictReader(fid, delimiter='\t')
gans = [row for row in reader]
return gans
def update_readme(gans):
""" Update the Readme.md text file from a Jinja2 template """
import jinja2 as j2
gans.sort(key=lambda v: v['Abbr.'].upper())
j2_env = j2.Environment(loader=j2.FileSystemLoader('.'),
trim_blocks=True, lstrip_blocks=True)
with open('README.md', 'w') as fid:
print(j2_env.get_template('README.j2.md').render(gans=gans), file=fid)
def update_figure(gans):
""" Update the figure cumulative_gans.jpg """
data = np.array([int(gan['Year']) + int(gan['Month']) / 12
for gan in gans])
x_range = int(np.ceil(np.max(data) - np.min(data)) * 12) + 1
y_range = int(np.ceil(data.size / 10)) * 10 + 1
with plt.style.context("seaborn"):
plt.hist(data, x_range, cumulative="True")
plt.xticks(range(2014, 2019))
plt.yticks(np.arange(0, y_range, 15))
plt.title("Cumulative number of named GAN papers by month")
plt.xlabel("Year")
plt.ylabel("Total number of papers")
plt.savefig('cumulative_gans.jpg')
def update_github_stats(gans):
""" Update Github stats """
num_rows = len(gans)
print('Fetching Github stats...')
for i, gan in enumerate(gans):
url = gan['Official_Code']
if url != "-" and url != "":
print(str(i) + '/' + str(num_rows))
result = requests.get(url)
c = result.text
soup = BeautifulSoup(c, "html.parser")
samples = soup.select("a.social-count")
gan['Watches'] = samples[0].get_text().strip().replace(",", "")
gan['Stars'] = samples[1].get_text().strip().replace(",", "")
gan['Forks'] = samples[2].get_text().strip().replace(",", "")
print(str(i) + '/' + str(num_rows))
print('Complete.')
with open('gans.tsv', 'w') as outfile:
fp = csv.DictWriter(outfile, gans[0].keys(), delimiter='\t')
fp.writeheader()
fp.writerows(gans)
if __name__ == '__main__':
GANS = load_data()
update_readme(GANS)
update_figure(GANS)
update_github_stats(GANS)
gitextract_xf4gc78l/ ├── .vscode/ │ └── settings.json ├── LICENSE ├── README.j2.md ├── README.md ├── gans.tsv ├── requirements.txt └── update.py
SYMBOL INDEX (4 symbols across 1 files) FILE: update.py function load_data (line 13) | def load_data(): function update_readme (line 22) | def update_readme(gans): function update_figure (line 34) | def update_figure(gans): function update_github_stats (line 50) | def update_github_stats(gans):
Condensed preview — 7 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (140K chars).
[
{
"path": ".vscode/settings.json",
"chars": 84,
"preview": "{\n \"python.pythonPath\": \"/Users/davidfoster/.virtualenvs/webscraper/bin/python\"\n}"
},
{
"path": "LICENSE",
"chars": 1073,
"preview": "MIT License\n\nCopyright (c) 2017 Avinash Hindupur\n\nPermission is hereby granted, free of charge, to any person obtaining "
},
{
"path": "README.j2.md",
"chars": 1260,
"preview": "# The GAN Zoo\n\n<p align=\"center\"><img width=\"40%\" src=\"The_GAN_Zoo.jpg\" /></p>\n\nEvery week, new GAN papers are coming ou"
},
{
"path": "README.md",
"chars": 63457,
"preview": "# The GAN Zoo\n\n<p align=\"center\"><img width=\"40%\" src=\"The_GAN_Zoo.jpg\" /></p>\n\nEvery week, new GAN papers are coming ou"
},
{
"path": "gans.tsv",
"chars": 64713,
"preview": "Year\tMonth\tAbbr.\tTitle\tArxiv\tOfficial_Code\tWatches\tStars\tForks\r\n2014\t6\tGAN\tGenerative Adversarial Networks\thttps://arxiv"
},
{
"path": "requirements.txt",
"chars": 394,
"preview": "astroid==2.0.4\nbeautifulsoup4==4.6.3\nbs4==0.0.1\ncertifi==2018.8.24\nchardet==3.0.4\ncycler==0.10.0\nidna==2.7\nisort==4.3.4\n"
},
{
"path": "update.py",
"chars": 2569,
"preview": "# -*- coding: utf-8 -*-\n\"\"\" Update Readme.md and cumulative_gans.jpg \"\"\"\nfrom __future__ import print_function\nfrom __fu"
}
]
About this extraction
This page contains the full source code of the hindupuravinash/the-gan-zoo GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 7 files (130.4 KB), approximately 41.3k tokens, and a symbol index with 4 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.