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This is a curated list of awesome table structure recognition (TSR) research.Including **sota models**, influential papers, popular datasets and open-source **codes**. Continuously updating. If you find any relevant academic papers that have not been included in our research, please submit a request for an update. We welcome contributions from everyone. ## Popular Datasets | Name | Tables | Data Type | TD | TSR | TCR | Year| | ---- | ---- | ---- | ---- | ---- | ---- | ----| | [ICDAR2013](https://paperswithcode.com/dataset/icdar-2013) | 156 | Digital | √ | √ | √ |2013| | [SciTSR](https://github.com/Academic-Hammer/SciTSR) | 15K | Digital | × | √ | √ |2019| | [TableBank](https://doc-analysis.github.io/tablebank-page/) | 417K | Digital | √ | × | × |2020| | [TableBank](https://doc-analysis.github.io/tablebank-page/) | 145K | Digital | × | √ | × |2020| | [PubTabNet](https://github.com/ibm-aur-nlp/PubTabNet) | 1M+ | Digital | × | √ | √ |2020| | [PubTables-1M](https://github.com/microsoft/table-transformer?tab=readme-ov-file)| 1M+ | Digital | √ | √ | × |2021| | [FinbTabNet](https://developer.ibm.com/exchanges/data/all/fintabnet/) | 91596 | Digital | × | √ | √ |2021| | [WTW](https://github.com/wangwen-whu/WTW-Dataset) | 14581 | Both | × | √ | × |2021| | [SynthTabNet](https://github.com/IBM/SynthTabNet) | 600K | Digital | × | √ | √ |2022| | [TabRecSet](https://github.com/MaxKinny/TabRecSet) | 38177 | Both | √ | √ | √ |2023| | [iFLYTAB](https://github.com/ZZR8066/SEMv2?tab=readme-ov-file) | 12104 | Both | √ | √ | × |2023| **TD** means **T**able **D**etection **TSR** means **T**able **S**tructure **R**ecognition **TCD** means **T**able **C**ontent **R**ecognition **Both** means including both digital and physical data ## SOTA Models
Method Type Method Name Citation Count Year Venue Open Source
Bottom-up Res2TIM 37 2019 ICDAR √
CascadeTabNet 182 2020 CVPR √
TabStruct-Net 87 2020 ECCV
LGPMA 63 2021 ICDAR √
Cycle-CenterNet 39 2021 ICCV
TGRNet 42 2021 ICCV √
FLAG-NET 30 2021 MM
GTE 116 2021 WACV
NCGM 25 2022 CVPR
LORE 7 2023 AAAI
Image2Markup EDD 171 2020 ECCV √
TableMaster 34 2021 ICDAR √
TableFormer 41 2022 CVPR
VAST 12 2023 CVPR
UniTable 2024 √
OminParser 2024 CVPR √
Split-and-Merge Based SPLERGE 91 2019 ICDAR √
SEM 40 2022 PR √
TSRFormer 20 2022 MM
RobusTabNet 32 2023 PR
SEMv2 3 2024 PR √
TSRFormer-DQ-DETR 2024 PR
Others TableNet 188 2019 ICDAR √
DETR 60 2022 CVPR √
TRACE 3 2023 ICDAR √
## Influential Papers ### CVPR 2024 + OMNIPARSER: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition-[Paper](https://arxiv.org/abs/2403.19128),[code]( https://github.com/AlibabaResearch/AdvancedLiterateMachinery/tree/main/OCR/OmniParser) ### PR 2024 + SEMv2: Table Separation Line Detection Based on Conditional Convolution-[Paper](https://www.semanticscholar.org/paper/SEMv2%3A-Table-Separation-Line-Detection-Based-on-Zhang-Hu/c78daabab3666d08d945098bc462f882b78803fd), [code](https://github.com/ZZR8066/SEMv2) + Robust table structure recognition with dynamic queries enhanced detection transformer-[Paper](https://www.sciencedirect.com/science/article/abs/pii/S0031320323005150) ### CVPR 2023 + Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling-[Paper](https://openaccess.thecvf.com/content/CVPR2023/papers/Huang_Improving_Table_Structure_Recognition_With_Visual-Alignment_Sequential_Coordinate_Modeling_CVPR_2023_paper.pdf) ### AAAI 2023 + LORE: Logical Location Regression Network for Table Structure Recognition=[Paper](https://ojs.aaai.org/index.php/AAAI/article/view/25402/25174) ### PR 2023 + Robust Table Detection and Structure Recognition from Heterogeneous Document Images-[Paper](https://www.sciencedirect.com/science/article/abs/pii/S0031320322004861) + Scene table structure recognition with segmentation collaboration and alignment-[Paper](https://www.sciencedirect.com/science/article/abs/pii/S0167865522003828?via%3Dihub) ### ACL 2023 + TableVLM: Multi-modal Pre-training for Table Structure Recognition-[Paper](https://aclanthology.org/2023.acl-long.137/) ### ICDAR 2023 + TRACE: Table Reconstruction Aligned to Corner and Edges-[Paper](https://link.springer.com/chapter/10.1007/978-3-031-41734-4_29) + Aligning benchmark datasets for table structure recognition-[Paper](https://link.springer.com/chapter/10.1007/978-3-031-41734-4_23) + Optimized Table Tokenization for Table Structure Recognition-[Paper](https://link.springer.com/chapter/10.1007/978-3-031-41679-8_3) ### CVPR 2022 + Neural Collaborative Graph Machines for Table Structure Recognition-[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Liu_Neural_Collaborative_Graph_Machines_for_Table_Structure_Recognition_CVPR_2022_paper.pdf) + TableFormer: Table Structure Understanding with Transformers-[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Nassar_TableFormer_Table_Structure_Understanding_With_Transformers_CVPR_2022_paper.pdf) + PubTables-1M: Towards comprehensive table extraction from unstructured documents-[Paper](https://openaccess.thecvf.com/content/CVPR2022/papers/Smock_PubTables-1M_Towards_Comprehensive_Table_Extraction_From_Unstructured_Documents_CVPR_2022_paper.pdf), [code](https://github.com/microsoft/table-transformer) ### PR 2022 + Split, Embed and Merge: An accurate table structure recognizer-[Paper](https://www.sciencedirect.com/science/article/abs/pii/S0031320322000462) ### WACV 2022 + Visual Understanding of Complex Table Structures from Document Images-[Paper](https://openaccess.thecvf.com/content/WACV2022/papers/Raja_Visual_Understanding_of_Complex_Table_Structures_From_Document_Images_WACV_2022_paper.pdf) ### MM 2022 + TSRFormer: Table Structure Recognition with Transformers-[Paper](https://dl.acm.org/doi/abs/10.1145/3503161.3548038) ### ICCV 2021 + Parsing Table Structures in the Wild-[Paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Long_Parsing_Table_Structures_in_the_Wild_ICCV_2021_paper.pdf) + TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition-[Paper](https://openaccess.thecvf.com/content/ICCV2021/papers/Xue_TGRNet_A_Table_Graph_Reconstruction_Network_for_Table_Structure_Recognition_ICCV_2021_paper.pdf), [code](https://github.com/xuewenyuan/TGRNet) ### WACV 2021 + Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context-[Paper](https://openaccess.thecvf.com/content/WACV2021/papers/Zheng_Global_Table_Extractor_GTE_A_Framework_for_Joint_Table_Identification_WACV_2021_paper.pdf) ### MM 2021 + Show, Read and Reason: Table Structure Recognition with Flexible Context Aggregator-[Paper](https://dl.acm.org/doi/abs/10.1145/3474085.3481534) ### ICDAR 2021 + LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment-[Paper](https://link.springer.com/chapter/10.1007/978-3-030-86549-8_7) + PINGAN-VCGROUP’S SOLUTION FOR ICDAR 2021 COMPETITION ON SCIENTIFIC LITERATURE PARSING TASK B:TABLE RECOGNITION TO HTML-[Paper](https://www.semanticscholar.org/paper/PingAn-VCGroup%27s-Solution-for-ICDAR-2021-on-Table-He-Qi/754087ddb922b22873c20b3b4eec3272898326d9), [code](https://github.com/JiaquanYe/TableMASTER-mmocr) + TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables-[Paper](https://link.springer.com/chapter/10.1007/978-3-030-86331-9_36) ### CVPRW 2020 + CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents-[Paper](https://openaccess.thecvf.com/content_CVPRW_2020/papers/w34/Prasad_CascadeTabNet_An_Approach_for_End_to_End_Table_Detection_and_CVPRW_2020_paper.pdf), [code](https://github.com/DevashishPrasad/CascadeTabNet) ### ECCV 2020 + Image-based table recognition: data, model, and evaluation-[Paper](https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123660562.pdf) + Table Structure Recognition using Top-Down and Bottom-Up Cues-[Paper](https://link.springer.com/chapter/10.1007/978-3-030-58604-1_5) ### LERC 2020 + TableBank: Table Benchmark for Image-based Table Detection and Recognition-[Paper](https://aclanthology.org/2020.lrec-1.236/) ### ICDAR 2019 + Challenges in end-to-end neural scientific table recognition-[Paper](https://ieeexplore.ieee.org/document/8978078) + Deep Splitting and Merging for Table Structure Decomposition-[Paper](https://ieeexplore.ieee.org/document/8977975) + DeepTabStR: Deep Learning based Table Structure Recognition-[Paper](https://ieeexplore.ieee.org/document/8978137) + Rethinking Table Recognition using Graph Neural Networks-[Paper](https://www.computer.org/csdl/proceedings-article/icdar/2019/301400a142/1h81qHhrzaM) + ReS2TIM: Reconstruct Syntactic Structures from Table Images-[Paper](https://ieeexplore.ieee.org/document/8978027) + TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images-[Paper](https://www.computer.org/csdl/proceedings-article/icdar/2019/301400a128/1h81vwkHTwY),[code](https://github.com/AmanSavaria1402/TableNet),[model](https://drive.google.com/file/d/11cl-QP5xsYmuM-IwCtc1psMH14bb7kFx/view) ## Others #### 2024 + UniTable: Towards a Unified Framework for Table Structure Recognition via Self-Supervised Pretraining-[Paper](https://arxiv.org/abs/2403.04822) #### 2023 + A large-scale dataset for end-to-end table recognition in the wild-[Paper](https://www.nature.com/articles/s41597-023-01985-8),[code](https://github.com/MaxKinny/TabRecSet) #### 2021 + Multi-Type-TD-TSR -- Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition: from OCR to Structured Table Representations-[Paper](https://link.springer.com/chapter/10.1007/978-3-030-87626-5_8), [code](https://github.com/Psarpei/Multi-Type-TD-TSR) ## Surveys + **[ICDAR 2023]** A Study on Reproducibility and Replicability of Table Structure Recognition Methods-[Paper](https://link.springer.com/chapter/10.1007/978-3-031-41679-8_1) + Deep Learning for Table Detection and Structure Recognition: A Survey-[Paper](https://dl.acm.org/doi/abs/10.1145/3657281) ## Star History [![Star History Chart](https://api.star-history.com/svg?repos=MathamPollard/awesome-table-structure-recognition&type=Date)](https://star-history.com/#MathamPollard/awesome-table-structure-recognition&Date)