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### [Project Page](https://guanjunwu.github.io/4dgs/index.html)| [arXiv Paper](https://arxiv.org/abs/2310.08528) ### [Project Page](https://guanjunwu.github.io/4dgs/index.html)| [arXiv Paper](https://arxiv.org/abs/2310.08528)
[Guanjun Wu](https://guanjunwu.github.io/) `<sup>`1*`</sup>`, [Taoran Yi](https://github.com/taoranyi) `<sup>`2*`</sup>`, [Guanjun Wu](https://guanjunwu.github.io/) <sup>1*</sup>, [Taoran Yi](https://github.com/taoranyi) <sup>2*</sup>,
[Jiemin Fang](https://jaminfong.cn/) `<sup>`3‡`</sup>`, [Lingxi Xie](http://lingxixie.com/) `<sup>`3 `</sup>`, `</br>`[Xiaopeng Zhang](https://scholar.google.com/citations?user=Ud6aBAcAAAAJ&hl=zh-CN) `<sup>`3 `</sup>`, [Wei Wei](https://www.eric-weiwei.com/) `<sup>`1 `</sup>`,[Wenyu Liu](http://eic.hust.edu.cn/professor/liuwenyu/) `<sup>`2 `</sup>`, [Qi Tian](https://www.qitian1987.com/) `<sup>`3 `</sup>` , [Xinggang Wang](https://xwcv.github.io) `<sup>`2‡✉`</sup>` [Jiemin Fang](https://jaminfong.cn/) <sup>3‡</sup>, [Lingxi Xie](http://lingxixie.com/) <sup>3 </sup>, </br>[Xiaopeng Zhang](https://scholar.google.com/citations?user=Ud6aBAcAAAAJ&hl=zh-CN) <sup>3 </sup>, [Wei Wei](https://www.eric-weiwei.com/) <sup>1 </sup>,[Wenyu Liu](http://eic.hust.edu.cn/professor/liuwenyu/) <sup>2 </sup>, [Qi Tian](https://www.qitian1987.com/) <sup>3 </sup> , [Xinggang Wang](https://xwcv.github.io) <sup>2‡✉</sup>
`<sup>`1 `</sup>`School of CS, HUST &emsp; `<sup>`2 `</sup>`School of EIC, HUST &emsp; `<sup>`3 `</sup>`Huawei Inc. &emsp; <sup>1 </sup>School of CS, HUST &emsp; <sup>2 </sup>School of EIC, HUST &emsp; <sup>3 </sup>Huawei Inc. &emsp;
`<sup>`\*`</sup>` Equal Contributions. `<sup>`$\ddagger$`</sup>` Project Lead. `<sup>`✉`</sup>` Corresponding Author. <sup>\*</sup> Equal Contributions. <sup>$\ddagger$</sup> Project Lead. <sup>✉</sup> Corresponding Author.
--- ---
![block](assets/teaserfig.jpg) ![block](assets/teaserfig.jpg)
Our method converges very quickly and achieves real-time rendering speed. Our method converges very quickly and achieves real-time rendering speed.
Colab demo:[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/hustvl/4DGaussians/blob/master/4DGaussians.ipynb) (Thanks [camenduru](https://github.com/camenduru/4DGaussians-colab).) New Colab demo:[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1wz0D5Y9egAlcxXy8YO9UmpQ9oH51R7OW?usp=sharing) (Thanks [Tasmay-Tibrewal
](https://github.com/Tasmay-Tibrewal))
Old Colab demo:[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/hustvl/4DGaussians/blob/master/4DGaussians.ipynb) (Thanks [camenduru](https://github.com/camenduru/4DGaussians-colab).)
Light Gaussian implementation: [This link](https://github.com/pablodawson/4DGaussians) (Thanks [pablodawson](https://github.com/pablodawson)) Light Gaussian implementation: [This link](https://github.com/pablodawson/4DGaussians) (Thanks [pablodawson](https://github.com/pablodawson))
## Further works
We sincerely thank the authors and their fantastic works for other applications based on our code.
[MD-Splatting: Learning Metric Deformation from 4D Gaussians in Highly Deformable Scenes](https://md-splatting.github.io/)
[4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency](https://vita-group.github.io/4DGen/)
[DreamGaussian4D: Generative 4D Gaussian Splatting](https://github.com/jiawei-ren/dreamgaussian4d)
[EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction](https://github.com/yifliu3/EndoGaussian)
[EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting](https://github.com/HKU-MedAI/EndoGS)
[Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting](https://arxiv.org/abs/2401.16416)
## News ## News
@ -193,6 +181,23 @@ In my paper, I always use `colmap.sh` to generate dense point clouds and downsam
Here are some codes maybe useful but never adopted in my paper, you can also try it. Here are some codes maybe useful but never adopted in my paper, you can also try it.
## Further works
We sincerely thank the authors and their fantastic works for other applications based on our code.
[MD-Splatting: Learning Metric Deformation from 4D Gaussians in Highly Deformable Scenes](https://md-splatting.github.io/)
[4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency](https://vita-group.github.io/4DGen/)
[DreamGaussian4D: Generative 4D Gaussian Splatting](https://github.com/jiawei-ren/dreamgaussian4d)
[EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction](https://github.com/yifliu3/EndoGaussian)
[EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting](https://github.com/HKU-MedAI/EndoGS)
[Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting](https://arxiv.org/abs/2401.16416)
--- ---
## Contributions ## Contributions