Summary of Swaptalk: Audio-driven Talking Face Generation with One-shot Customization in Latent Space, by Zeren Zhang et al.
SwapTalk: Audio-Driven Talking Face Generation with One-Shot Customization in Latent Space
by Zeren Zhang, Haibo Qin, Jiayu Huang, Yixin Li, Hui Lin, Yitao Duan, Jinwen Ma
First submitted to arxiv on: 9 May 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 proposed SwapTalk framework combines face swapping with lip synchronization technology to generate customized talking faces efficiently. The approach addresses the limitation of existing models by operating in the same latent space, using VQ-embedding for excellent editability and fidelity. To enhance generalization, identity loss is incorporated during face swapping training, while expert discriminator supervision is used for lip synchronization module training. Evaluation expands from self-reconstruction to asynchronous audio-video scenarios, with a novel identity consistency metric introduced. Results on the HDTF demonstrate SwapTalk’s superiority in video quality, lip synchronization accuracy, face swapping fidelity, and identity consistency. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary SwapTalk is a new way to make talking faces that can be customized for different people. It combines two technologies: face swapping and lip syncing. Normally, these techniques are used separately, but this method brings them together in the same space. This makes it easier to generate high-quality videos with accurate lip movements and consistent identities over time. The approach is tested on a dataset called HDTF, showing significant improvements over existing methods. |
Keywords
» Artificial intelligence » Embedding » Generalization » Latent space
