Summary of 3dfacepolicy: Speech-driven 3d Facial Animation with Diffusion Policy, by Xuanmeng Sha et al.
3DFacePolicy: Speech-Driven 3D Facial Animation with Diffusion Policy
by Xuanmeng Sha, Liyun Zhang, Tomohiro Mashita, Yuki Uranishi
First submitted to arxiv on: 17 Sep 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG); Multimedia (cs.MM); Sound (cs.SD); Audio and Speech Processing (eess.AS)
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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 proposes 3DFacePolicy, a diffusion policy model for 3D facial animation prediction. Audio-driven 3D facial animation has seen significant advancements, but there’s still a gap between generated animations and real human faces in terms of vividness and emotional expression. The proposed method generates realistic human facial movements by predicting the 3D vertex trajectory on a 3D facial template using diffusion policy instead of generating every frame individually. This approach takes audio and vertex states as observations to predict the vertex trajectory, enabling it to imitate real human facial expressions with continuous and natural flow of emotions. The experiments demonstrate the effectiveness of 3DFacePolicy in synthesizing dynamic and variable facial motion. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper tries to make faces in videos look more like real people’s faces. Right now, fake faces don’t quite match how real faces move or express emotions. To fix this, the authors created a new way to predict how face movements should change based on what sounds are being played and where the face is right now. This helps create more natural-looking facial expressions that flow smoothly like they do in real life. The results show that their method does a great job of making fake faces look more realistic. |
Keywords
» Artificial intelligence » Diffusion
