https://github.com/gbliao/CLIP-GS

Official PyTorch implementation of the paper ‘CLIP-GS: CLIP-Informed Gaussian Splatting for Real-time and View-consistent 3D Semantic Understanding’
https://github.com/gbliao/CLIP-GS

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Official PyTorch implementation of the paper ‘CLIP-GS: CLIP-Informed Gaussian Splatting for Real-time and View-consistent 3D Semantic Understanding’

• Host: GitHub
• URL: https://github.com/gbliao/CLIP-GS
• Owner: gbliao
• Created: 2024-04-13T07:18:23.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-04-25T03:19:26.000Z (9 months ago)
• Last Synced: 2024-04-25T04:28:05.293Z (9 months ago)
• Homepage:
• Size: 2.93 KB
• Stars: 7
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CLIP-GS: CLIP-Informed Gaussian Splatting for Real-time and View-consistent 3D Semantic Understanding

This is the code for CLIP-GS: CLIP-Informed Gaussian Splatting for Real-time and View-consistent 3D Semantic Understanding.

 * [Project Page](https://gbliao.github.io/CLIP-GS.github.io/)

 * [Paper](https://arxiv.org/abs/2404.14249)

## Citing

If you find our work useful, please consider citing:

```BibTeX

@article{liao2024clip,

  title={CLIP-GS: CLIP-Informed Gaussian Splatting for Real-time and View-consistent 3D Semantic Understanding},

  author={Liao, Guibiao and Li, Jiankun and Bao, Zhenyu and Ye, Xiaoqing and Wang, Jingdong and Li, Qing and Liu, Kanglin},

  journal={arXiv preprint arXiv:2404.14249},

  year={2024}

}

```