Summary of Video-infinity: Distributed Long Video Generation, by Zhenxiong Tan et al.
Video-Infinity: Distributed Long Video Generation
by Zhenxiong Tan, Xingyi Yang, Songhua Liu, Xinchao Wang
First submitted to arxiv on: 24 Jun 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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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 This paper proposes Video-Infinity, a distributed inference pipeline that enables parallel processing across multiple GPUs for long-form video generation. Diffusion models have achieved remarkable results for video generation, but typically produce short clips due to memory and processing limitations. To overcome these challenges, the authors introduce two mechanisms: Clip parallelism and Dual-scope attention. The former optimizes context sharing across GPUs, while the latter balances local and global contexts efficiently. By combining these mechanisms, Video-Infinity distributes workload and enables fast generation of long videos. Under an 8 x Nvidia 6000 Ada GPU setup, the method generates videos up to 2,300 frames in approximately 5 minutes, outperforming prior methods by a factor of 100. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper makes it possible to create really long videos using special computer chips called GPUs. Right now, video generation is limited because it takes too much memory and time on one chip. To fix this, the authors created a new way to work together with multiple GPUs to make longer videos. They came up with two clever ideas: sharing information between GPUs and balancing different parts of the video. By using these ideas together, they made it possible to create long videos really fast – in just 5 minutes! This is much faster than before, which is really exciting. |
Keywords
» Artificial intelligence » Attention » Inference
