Lip Motion

Lip motion research focuses on accurately modeling and generating realistic lip movements synchronized with speech, primarily for applications in speech recognition, animation, and virtual avatar creation. Current research heavily utilizes diffusion models and neural radiance fields, often incorporating techniques like self-supervised learning and disentanglement of facial attributes to improve realism and efficiency. These advancements are significantly impacting fields like automatic speech recognition by improving robustness in noisy environments and enabling more natural and expressive virtual characters in various multimedia applications.