High Identity Consistency Strong Occlusion Robustness Rich Stylistic Diversity OmniSync: Towards Universal Lip Synchronization via Diffusion Transformers

Neural Information Processing Systems 

Lip synchronization is the task of aligning a speaker's lip movements in video with corresponding speech audio, and it is essential for creating realistic, expressive video content. However, existing methods often rely on reference frames and masked-frame inpainting, which limit their robustness to identity consistency, pose variations, facial occlusions, and stylized content. In addition, since audio signals provide weaker conditioning than visual cues, lip shape leakage from the original video will affect lip sync quality.

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