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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.
Controllable Animation Video Generation with Large Models-based Multimodal Agents
| Date | Stars |
|---|---|
| 2026-07-31 | 252 |
| 2026-08-06 | 252 |
Today
— stars today
This week
— stars this week
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— stars this month
Momentum
0.0
growth rate 0.00%/day
# Anim-Director & AniMaker
<a src="https://img.shields.io/badge/cs.CV-2408.09787-b31b1b?logo=arxiv&logoColor=red" href="https://arxiv.org/abs/2408.09787"> <img src="https://img.shields.io/badge/cs.CV-2408.09787-b31b1b?logo=arxiv&logoColor=red">
</a>
<a src="https://img.shields.io/badge/cs.CV-2506.10540-b31b1b?logo=arxiv&logoColor=red" href="https://arxiv.org/abs/2506.10540"> <img src="https://img.shields.io/badge/cs.CV-2506.10540-b31b1b?logo=arxiv&logoColor=red">
</a>
Controllable Animation Video Generation with Large Models-based Multimodal Agents. The long-term aim of this project is to construct a long video generation agent to help everyone become a director, visualising their ideas.
If you appreciate our project, please consider giving us a star ⭐ on GitHub to stay updated with the latest developments.
## 🔥 News
**`2025.09.13`** ✨ The [AniMaker Homepage](https://animaker-dev.github.io/) is now live!
**`2025.08.11`** 🎉 AniMaker is conditionally accepted by **Siggraph Asia 2025**.
**`2025.06.10`** 🚀 We release [AniMaker](https://github.com/HITsz-TMG/Anim-Director/tree/main/AniMaker), a multi-agent framework designed to efficiently generate coherent, long-form storytelling animations from text input.
**`2024.08.09`** 🚀 We release [Anim-Director](https://github.com/HITsz-TMG/Anim-Director/tree/main/Anim-Director), the first animation generation agent powered by LMM.
**`2024.07.30`** 🎉 Anim-Director is conditionally accepted by **Siggraph Asia 2024**.
## :page_facing_up: Citation
If you find this project useful in your research, please consider cite:
```bibtex
@inproceedings{li2024anim,
title={Anim-director: A large multimodal model powered agent for controllable animation video generation},
author={Li, Yunxin and Shi, Haoyuan and Hu, Baotian and Wang, Longyue and Zhu, Jiashun and Xu, Jinyi and Zhao, Zhen and Zhang, Min},
booktitle={SIGGRAPH Asia 2024 Conference Papers},
pages={1--11},
year={2024}
}
@inproceedings{shi2025animaker,
title={AniMaker: Multi-Agent Animated Storytelling with MCTS-Driven Clip Generation},
author={Shi, Haoyuan and Li, Yunxin and Chen, Xinyu and Wang, Longyue and Hu, Baotian and Zhang, Min},
booktitle={Proceedings of the SIGGRAPH Asia 2025 Conference Papers},
pages={1--11},
year={2025}
}
```
## Star History
[](https://www.star-history.com/#HITsz-TMG/Anim-Director&Date)
Excerpt of 2,474 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a16e5ccd7f363acd, llm:Repository description: 'Controllable Animation Video Generation with Large Models-based Multimodal Agents' (multimodal agents, animation video generation). Language: Jupyter Notebook.
matched fp:a16e5ccd7f363acd, llm:Repository description: 'Controllable Animation Video Generation with Large Models-based Multimodal Agents' (multimodal agents, animation video generation). Language: Jupyter Notebook.
matched fp:a16e5ccd7f363acd, llm:Repository description: 'Controllable Animation Video Generation with Large Models-based Multimodal Agents' (multimodal agents, animation video generation). Language: Jupyter Notebook.
matched fp:a16e5ccd7f363acd, llm:Repository description: 'Controllable Animation Video Generation with Large Models-based Multimodal Agents' (multimodal agents, animation video generation). Language: Jupyter Notebook.