Generating talking head videos through a face image and a piece of speech audio still
contains many challenges. ie, unnatural head movement, distorted expression, and identity …

Speech-driven 3D facial animation has been widely studied, yet there is still a gap to
achieving realism and vividness due to the highly ill-posed nature and scarcity of audio …

In this work, we propose an ID-preserving talking head generation framework, which
advances previous methods in two aspects. First, as opposed to interpolating from sparse …

Achieving disentangled control over multiple facial motions and accommodating diverse
input modalities greatly enhances the application and entertainment of the talking head …

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 …

AI-generated content (AIGC) methods aim to produce text, images, videos, 3D assets, and
other media using AI algorithms. Due to its wide range of applications and the demonstrated …

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 …

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 …

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 …

Amidst the rapid advancement of artificial intelligence (AI), the development of content
generation techniques stands out as one of the most captivating and widely discussed topics …