Summary of Cyberhost: Taming Audio-driven Avatar Diffusion Model with Region Codebook Attention, by Gaojie Lin et al.
CyberHost: Taming Audio-driven Avatar Diffusion Model with Region Codebook Attention
by Gaojie Lin, Jianwen Jiang, Chao Liang, Tianyun Zhong, Jiaqi Yang, Yanbo Zheng
First submitted to arxiv on: 3 Sep 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 The paper introduces an end-to-end audio-driven human animation framework called CyberHost, which generates realistic human animations with hand integrity, identity consistency, and natural motion. The framework utilizes the Region Codebook Attention mechanism to improve facial and hand animation quality by integrating local features with learned motion pattern priors. Additionally, the authors developed various training strategies, such as body movement map and pose-aligned reference feature, to enhance synthesis results. CyberHost is the first end-to-end audio-driven human diffusion model capable of generating zero-shot videos within the scope of human body. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary CyberHost is a new way to create realistic videos of people moving their bodies. It’s like a super-smart computer program that uses sound to make animations look more natural and lifelike. The program does this by paying attention to small details, like facial expressions and hand movements, and using patterns it learned from watching humans move. This technology could be used in movies, TV shows, or even virtual reality experiences. |
Keywords
» Artificial intelligence » Attention » Diffusion model » Zero shot
