[
  {
    "path": "README.md",
    "content": "## :book: 3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for Indoor 3D Object Detection\n<p align=\"center\">\n  <small> 🔥The first work to introduce 3D Gaussian Splatting into Indoor 3D\nObject Detection. ⭐Star 3DGS-DET. Thanks🔥 </small>\n</p>\n\n> [[Paper](https://arxiv.org/pdf/2410.01647)] &emsp;  <br>\n<!-- > [Yang Cao](https://yangcaoai.github.io/), Yihan Zeng, [Hang Xu](https://xuhangcn.github.io/), [Dan Xu](https://www.danxurgb.net) <br> -->\n<!-- > The Hong Kong University of Science and Technology, Huawei Noah's Ark Lab -->\n> [Yang Cao*](https://yangcaoai.github.io/), [Yuanliang Ju*](https://x.com/averyjuuu0213), [Dan Xu](https://www.danxurgb.net) <br>\n> The Hong Kong University of Science and Technology<br>\n\n:triangular_flag_on_post: **Updates**  \n\n&#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!\n\n&#9744; The code and data will be released within a month of the paper's acceptance. Please stay tuned.\n\n&#9745; Our paper 3DGS-DET is released, check out it on [arXiv](https://arxiv.org/pdf/2410.01647).\n\n## Table of Contents\n- [Boundary Guidance](#Boundary-Guidance)\n- [Methods](#Methods)\n- [Detection Samples](#Detection-Samples)\n- [Guidance from Different Priors](#Guidance-from-Different-Priors)\n- [Rendered Images](#Rendered-Images)\n- [BibTeX](#BibTeX)\n- [Contact](#Contact)\n- [Acknowledgement](#Acknowledgement)\n  \n## Boundary Guidance\n<img src=\"assets/fig1.png\">\n\n## Methods\n<img src=\"assets/method.png\">\n\n## Detection Samples\n<img src=\"assets/fig4.png\">\n\n## Guidance from Different Priors\n<img src=\"assets/fig5.png\">\n\n## Rendered Images\n<img src=\"assets/fig6.png\">\n\n\n## BibTeX\nCite 3DGS-DET by:\n```\n@article{cao20243dgs,\n  title={3dgs-det: Empower 3d gaussian splatting with boundary guidance and box-focused sampling for indoor 3d object detection},\n  author={Cao, Yang and Ju, Yuanliang and Xu, Dan},\n  journal={arXiv preprint arXiv:2410.01647},\n  year={2024}\n}\n```\n\n## Contact\n\nIf you have any question, please email `yangcao.cs@gmail.com`.\n\n## Acknowledgement\nWe sincerely thanks to these great open source projects:\n\n[NeRF-Det](https://github.com/facebookresearch/NeRF-Det) \n\n[CN-RMA](https://github.com/SerCharles/CN-RMA) \n\n[ImGeoNet](https://github.com/ttaoREtw/ImGeoNet) \n\n[3DGS](https://github.com/graphdeco-inria/gaussian-splatting) \n\n[MMDetection3D](https://github.com/open-mmlab/mmdetection3d)\n\nAs 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.\n"
  }
]