Full Code of yangcaoai/3DGS-DET for AI

Repository: yangcaoai/3DGS-DET
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gitextract_dsyz3zfu/

└── README.md

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FILE: README.md
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## :book: 3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for Indoor 3D Object Detection
<p align="center">
  <small> 🔥The first work to introduce 3D Gaussian Splatting into Indoor 3D
Object Detection. ⭐Star 3DGS-DET. Thanks🔥 </small>
</p>

> [[Paper](https://arxiv.org/pdf/2410.01647)] &emsp;  <br>
<!-- > [Yang Cao](https://yangcaoai.github.io/), Yihan Zeng, [Hang Xu](https://xuhangcn.github.io/), [Dan Xu](https://www.danxurgb.net) <br> -->
<!-- > The Hong Kong University of Science and Technology, Huawei Noah's Ark Lab -->
> [Yang Cao*](https://yangcaoai.github.io/), [Yuanliang Ju*](https://x.com/averyjuuu0213), [Dan Xu](https://www.danxurgb.net) <br>
> The Hong Kong University of Science and Technology<br>

:triangular_flag_on_post: **Updates**  

&#9745; Being **<a href="https://huggingface.co/papers?date=2024-10-03" style="color: #FF5733; font-weight: bold;">Top-5</a>** in Hugging Face Daily Papers!

&#9744; The code and data will be released within a month of the paper's acceptance. Please stay tuned.

&#9745; Our paper 3DGS-DET is released, check out it on [arXiv](https://arxiv.org/pdf/2410.01647).

## Table of Contents
- [Boundary Guidance](#Boundary-Guidance)
- [Methods](#Methods)
- [Detection Samples](#Detection-Samples)
- [Guidance from Different Priors](#Guidance-from-Different-Priors)
- [Rendered Images](#Rendered-Images)
- [BibTeX](#BibTeX)
- [Contact](#Contact)
- [Acknowledgement](#Acknowledgement)
  
## Boundary Guidance
<img src="assets/fig1.png">

## Methods
<img src="assets/method.png">

## Detection Samples
<img src="assets/fig4.png">

## Guidance from Different Priors
<img src="assets/fig5.png">

## Rendered Images
<img src="assets/fig6.png">


## BibTeX
Cite 3DGS-DET by:
```
@article{cao20243dgs,
  title={3dgs-det: Empower 3d gaussian splatting with boundary guidance and box-focused sampling for indoor 3d object detection},
  author={Cao, Yang and Ju, Yuanliang and Xu, Dan},
  journal={arXiv preprint arXiv:2410.01647},
  year={2024}
}
```

## Contact

If you have any question, please email `yangcao.cs@gmail.com`.

## Acknowledgement
We sincerely thanks to these great open source projects:

[NeRF-Det](https://github.com/facebookresearch/NeRF-Det) 

[CN-RMA](https://github.com/SerCharles/CN-RMA) 

[ImGeoNet](https://github.com/ttaoREtw/ImGeoNet) 

[3DGS](https://github.com/graphdeco-inria/gaussian-splatting) 

[MMDetection3D](https://github.com/open-mmlab/mmdetection3d)

As it is not possible to list all the referenced works. If you find we leave out your repo, please contact us and we'll update the list.