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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
| Date | Stars |
|---|---|
| 2026-07-31 | 979 |
| 2026-08-01 | 979 |
| 2026-08-06 | 979 |
| 2026-08-12 | 979 |
| 2026-08-18 | 980 |
| 2026-08-20 | 980 |
| 2026-08-30 | 981 |
| 2026-09-01 | 982 |
| 2026-09-14 | 982 |
| 2026-09-15 | 982 |
| 2026-09-18 | 983 |
| 2026-09-20 | 983 |
Today
— stars today
This week
+1 stars this week
This month
+3 stars this month
Momentum
0.0
growth rate 0.10%/day
<div align="center">
<h1>MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model</h1>
<div>
<a href='https://scholar.google.com/citations?user=2QLD4fAAAAAJ&hl=en' target='_blank'>Mingyuan Zhang</a><sup>1</sup>* 
<a href='https://caizhongang.github.io/' target='_blank'>Zhongang Cai</a><sup>1,2</sup>* 
<a href='https://scholar.google.com/citations?user=lSDISOcAAAAJ&hl=zh-CN' target='_blank'>Liang Pan</a><sup>1</sup> 
<a href='https://hongfz16.github.io/' target='_blank'>Fangzhou Hong</a><sup>1</sup> 
<a href='https://gxyes.github.io/' target='_blank'>Xinying Guo</a><sup>1</sup> 
<a href='https://yanglei.me/' target='_blank'>Lei Yang</a><sup>2</sup> 
<a href='https://liuziwei7.github.io/' target='_blank'>Ziwei Liu</a><sup>1+</sup>
</div>
<div>
<sup>1</sup>S-Lab, Nanyang Technological University 
<sup>2</sup>SenseTime Research 
</div>
<div>
*equal contribution 
<sup>+</sup>corresponding author
</div>
<table>
<tr>
<td align='center' width='24%'>play the guitar</td>
<td align='center' width='24%'>walk sadly</td>
<td align='center' width='24%'>walk happily</td>
<td align='center' width='24%'>check time</td>
</tr>
<tr>
<td><img src="figures/gallery/gen_00.gif" width="100%"/></td>
<td><img src="figures/gallery/gen_03.gif" width="100%"/></td>
<td><img src="figures/gallery/gen_05.gif" width="100%"/></td>
<td><img src="figures/gallery/gen_06.gif" width="100%"/></td>
</tr>
</table>
This repository contains the official implementation of _MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model_.
---
<h4 align="center">
<a href="https://mingyuan-zhang.github.io/projects/MotionDiffuse.html" target='_blank'>[Project Page]</a> •
<a href="https://arxiv.org/abs/2208.15001" target='_blank'>[arXiv]</a> •
<a href="https://youtu.be/U5PTnw490SA" target='_blank'>[Video]</a> •
<a href="https://colab.research.google.com/drive/1Dp6VsZp2ozKuu9ccMmsDjyij_vXfCYb3?usp=sharing" target='_blank'>[Colab Demo]</a> •
<a href="https://huggingface.co/spaces/mingyuan/MotionDiffuse" target='_blank'>[Hugging Face Demo]</a>
</h4>
</div>
## Updates
[10/2022] Add a [🤗Hugging Face Demo](https://huggingface.co/spaces/mingyuan/MotionDiffuse) for text-driven motion generation!
[10/2022] Add a [Colab Demo](https://colab.research.google.com/drive/1Dp6VsZp2ozKuu9ccMmsDjyij_vXfCYb3?usp=sharing) for text-driven motion generation! [](https://colab.research.google.com/drive/1Dp6VsZp2ozKuu9ccMmsDjyij_vXfCYb3?usp=sharing)
[10/2022] Code release for text-driven motion generation!
[8/2022] [Paper](https://arxiv.org/abs/2208.15001) uploaded to arXiv. [](https://arxiv.org/abs/2208.15001)
## Text-driven Motion Generation
You may refer to [this file](text2motion/README.md) for detailed introduction.
## Citation
If you find our work useful for your research, please consider citing the paper:
```
@article{zhang2022motiondiffuse,
title={MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model},
author={Zhang, Mingyuan and Cai, Zhongang and Pan, Liang and Hong, Fangzhou and Guo, Xinying and Yang, Lei and Liu, Ziwei},
journal={arXiv preprint arXiv:2208.15001},
year={2022}
}
```
## Acknowledgements
This study is supported by NTU NAP, MOE AcRF Tier 2 (T2EP20221-0033), and under the RIE2020 Industry Alignment Fund – Industry Collaboration Projects (IAF-ICP) Funding Initiative, as well as cash and in-kind contribution from the industry partner(s).
Excerpt of 3,682 characters
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:9703278bac4d53f8, topic:motion-generation, desc:motion generation