Diffusion models have shown remarkable success in a variety of downstream generative
tasks, yet remain under-explored in the important and challenging expressive talking head …

Speech-driven 3D facial animation synthesis has been a challenging task both in industry
and research. Recent methods mostly focus on deterministic deep learning methods …

In this paper we abstract the process of people hearing speech extracting meaningful cues
and creating various dynamically audio-consistent talking faces termed Listening and …

Generative deep learning techniques have invaded the public discourse recently. Despite
the advantages, the applications to disinformation are concerning as the counter-measures …

The paper introduces AniTalker, an innovative framework designed to generate lifelike
talking faces from a single portrait. Unlike existing models that primarily focus on verbal cues …

We introduce VASA, a framework for generating lifelike talking faces with appealing visual
affective skills (VAS) given a single static image and a speech audio clip. Our premiere …

Zero-shot talking avatar generation aims at synthesizing natural talking videos from speech
and a single portrait image. Previous methods have relied on domain-specific heuristics …

We aim to edit the lip movements in talking video according to the given speech while
preserving the personal identity and visual details. The task can be decomposed into two …