Summary of Vidu: a Highly Consistent, Dynamic and Skilled Text-to-video Generator with Diffusion Models, by Fan Bao et al.
Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models
by Fan Bao, Chendong Xiang, Gang Yue, Guande He, Hongzhou Zhu, Kaiwen Zheng, Min Zhao, Shilong Liu, Yaole Wang, Jun Zhu
First submitted to arxiv on: 7 May 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces Vidu, a high-performance text-to-video generator capable of producing 1080p videos up to 16 seconds in a single generation. Built upon the U-ViT backbone, Vidu leverages diffusion models for scalability and handles long videos. It showcases strong coherence and dynamism, generating realistic and imaginative videos while understanding professional photography techniques, comparable to Sora, the most powerful reported text-to-video generator. The paper also explores initial experiments in controllable video generation, including canny-to-video, video prediction, and subject-driven generation, yielding promising results. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Vidu is a new AI system that can turn words into videos! It’s really good at making long videos too. Vidu uses special computer vision techniques to make the videos look realistic and fun. The researchers tested Vidu by asking it to generate different types of videos and were happy with the results. This technology has many possible uses, like creating movies or TV shows from scripts. |
Keywords
» Artificial intelligence » Vit
