yangcaoai/3DGS-DET

Official codes for paper: 3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for 3D Object Detection

📖 3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for 3D Object Detection

🔥The first work to introduce 3D Gaussian Splatting into 3D Object Detection. ⭐Star 3DGS-DET. Thanks🔥

[Paper]  

Yang Cao*, Yuanliang Ju*, Dan Xu
The Hong Kong University of Science and Technology

🚩 Updates

☑ Being Top-5 in Hugging Face Daily Papers!

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

☑ Our paper 3DGS-DET is released, check out it on arXiv.

Table of Contents

• Boundary Guidance
• Pipeline of 3DGS for 3D Object Detection
• Methods
• Detection Samples
• Guidance from Different Priors
• Rendered Images
• BibTeX
• Contact
• Acknowledgement

Boundary Guidance

Pipeline of 3DGS for 3D Object Detection

Methods

Detection Samples

Guidance from Different Priors

Rendered Images

BibTeX

Cite 3DGS-DET by:

@misc{3dgsdet,
      title={3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for 3D Object Detection}, 
      author={Yang Cao and Yuanliang Ju and Dan Xu},
      year={2024},
      eprint={2410.01647},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2410.01647}, 
}

Contact

If you have any question or collaboration needs, please email yangcao.cs@gmail.com.

Acknowledgement

3DGS-DET is implemented based on 3DGS and MMDetection3D. We appreciate their great codes.