SyncEdit: Rethinking Lip Synchronization as Editing with Audio-Driven Diffusion Models
SyncEdit rethinks lip synchronization by framing it as an audio-driven editing problem using diffusion models. The method reformulates the process to use a target sequence instead of an edit sequence, providing an unbiased estimation of the desired output. This approach eliminates stochastic elements, leading to smoother, more stable generation trajectories for precise lip-syncing.