English

Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models

Computer Vision and Pattern Recognition 2024-05-08 v1 Machine Learning

Abstract

We introduce Vidu, a high-performance text-to-video generator that is capable of producing 1080p videos up to 16 seconds in a single generation. Vidu is a diffusion model with U-ViT as its backbone, which unlocks the scalability and the capability for handling long videos. Vidu exhibits strong coherence and dynamism, and is capable of generating both realistic and imaginative videos, as well as understanding some professional photography techniques, on par with Sora -- the most powerful reported text-to-video generator. Finally, we perform initial experiments on other controllable video generation, including canny-to-video generation, video prediction and subject-driven generation, which demonstrate promising results.

Keywords

Cite

@article{arxiv.2405.04233,
  title  = {Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models},
  author = {Fan Bao and Chendong Xiang and Gang Yue and Guande He and Hongzhou Zhu and Kaiwen Zheng and Min Zhao and Shilong Liu and Yaole Wang and Jun Zhu},
  journal= {arXiv preprint arXiv:2405.04233},
  year   = {2024}
}

Comments

Project page at https://www.shengshu-ai.com/vidu

R2 v1 2026-06-28T16:19:20.762Z