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 …

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 …

Deepfake is a technology dedicated to creating highly realistic facial images and videos
under specific conditions, which has significant application potential in fields such as …

Existing one-shot 4D head synthesis methods usually learn from monocular videos with the
aid of 3DMM reconstruction yet the latter is evenly challenging which restricts them from …

We propose VLOGGER, a method for audio-driven human video generation from a single
input image of a person, which builds on the success of recent generative diffusion models …

The field of portrait image animation, driven by speech audio input, has experienced
significant advancements in the generation of realistic and dynamic portraits. This research …

The proliferation of multi-lingual content on today's streaming services has created a need
for automated multi-lingual dubbing tools. In this article, current state-of-the-art approaches …

Human video generation is a dynamic and rapidly evolving task that aims to synthesize 2D
human body video sequences with generative models given control conditions such as text …

In this paper, we present Export3D, a one-shot 3D-aware portrait animation method that is
able to control the facial expression and camera view of a given portrait image. To achieve …

We present a 3D-aware one-shot head reenactment method based on a fully volumetric
neural disentanglement framework for source appearance and driver expressions. Our …