README.md
March 16, 2026 Ā· View on GitHub
:book: 3DGS-DET: Empower 3D Gaussian Splatting with Boundary Guidance and Box-Focused Sampling for Indoor 3D Object Detection
š„The first work to introduce 3D Gaussian Splatting into Indoor 3D Object Detection. āStar 3DGS-DET. Thanksš„
[Paper] ā
Yang Cao*, Yuanliang Ju*, Dan Xu
The Hong Kong University of Science and Technology
:triangular_flag_on_post: Updates
ā Being Top-5 in Hugging Face Daily Papers!
ā The code and data will be released within a month of the paper's acceptance. Please stay tuned.
ā 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
- Contact
- Acknowledgement
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:
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.