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

🔥The first work to introduce 3D Gaussian Splatting into Indoor 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

Methods

Detection Samples

Guidance from Different Priors

Rendered Images

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

CN-RMA

ImGeoNet

3DGS

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.

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

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