YingVideo-MV

KO | EN

gitlite — search

#python #react #ai #android #rust #deep-learning #docker #java #awesome #vue #security #mcp #openai #ios

(★ 79)

No description available.

YingVideo-MV Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# YingVideo-MV: Music-Driven Multi-Stage Video Generation

[![Paper](https://img.shields.io/badge/Paper-YingVideo--MV-blue)](https://arxiv.org/pdf/2512.02492)
[![Project](https://img.shields.io/badge/Project-Page-yellow)](https://giantailab.github.io/YingVideo-MV/)

</div>

## 🎬 Introduction Video

https://github.com/user-attachments/assets/ab778888-8a1d-4480-b0a2-c8f9136e9da1

---

## Overview ✨

We present YingVideo-MV, the first cascaded framework for music-driven long-video generation. Our approach integrates audio semantic analysis, an interpretable shot planning module (MV-Director), temporal-aware diffusion Transformer architectures, and long-sequence consistency modeling to enable automatic synthesis of high-quality music performance videos from audio signals. We construct a large-scale Music-in-the-Wild Dataset by collecting web data to support the achievement of diverse, high-quality results. Observing that existing long-video generation methods lack explicit camera motion control, we introduce a camera adapter module that embeds camera poses into latent noise. To enhance continulity between clips during long-sequence inference, we further propose a time-aware dynamic window range strategy that adaptively adjust denoising ranges based on audio embedding. Comprehensive benchmark tests demonstrate that YingVideo-MV achieves outstanding performance in generating coherent and expressive music videos, and enables precise audio-motion-camera synchronization.

### 🔧 Key Features  
- **Cascaded Training Pipeline**  
  - **Camera Control**: Camera Adapter with Explicit Camera Control  
  - **TDW**: Timestep-aware Dynamic Window Range Strategy 
  - **RL (DPO)**: Multi-reward Reinforcement Learning for Human Preferences

---

---

## News & Updates 🗞️
- **2025-11-27**: Released technical report

---

## Development Roadmap & TODO 🗺️
- [ ] inference code in mid-December
- [ ] 1.3B model checkpoint in mid-December

<!-- [//]: # (## Acknowledgements 🙏  )

[//]: # (This project is built upon:)

[//]: # (- Seed-VC &#40;DiT + Flow Matching&#41;)

[//]: # (- BigVGAN Vocoder  )

[//]: # (- FireRedASR  )

[//]: # (- Audiobox Aesthetics  )

[//]: # () -->
[//]: # (---)

[//]: # ()
[//]: # ()
## Citation 🧾

If you use YingVideo-MV for research, please cite:

```

@article{chen2025yingvideo,
  title={YingVideo-MV: Music-Driven Multi-Stage Video Generation},
  author={Chen, Jiahui and Wang, Weida and Shi, Runhua and Yang, Huan and Ding, Chaofan and Chen, Zihao},
  journal={arXiv preprint arXiv:2512.02492},
  year={2025}
}

```

---

## License 📝  
Our code is released under MIT License.

YingVideo-MV

YingVideo-MV Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

YingVideo-MV

YingVideo-MV Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README