Mamba-Enhanced Implicit Motion Learning for Audio-Driven Portrait Animation 事件

Mamba-Enhanced Implicit Motion Learning for Audio-Driven Portrait Animation arXiv:2606.03402v1 Announce Type: new Abstract: Audio-driven human motion video generation aims to synthesize realistic and temporally coherent human animations from a single static image, with applications in talking-head synthesis, co-speech gesture generation, and dynamic presentations. Moving beyond conventional keypoint-based methods that often struggle to capture subtle motion dynamics, We propose a novel implicit