The field of visual computing is rapidly advancing due to the emergence of generative
artificial intelligence (AI), which unlocks unprecedented capabilities for the generation …

We introduce GaussianAvatars a new method to create photorealistic head avatars that are
fully controllable in terms of expression pose and viewpoint. The core idea is a dynamic 3D …

Creating high-fidelity 3D head avatars has always been a research hotspot but there
remains a great challenge under lightweight sparse view setups. In this paper we propose …

The fidelity of relighting is bounded by both geometry and appearance representations. For
geometry both mesh and volumetric approaches have difficulty modeling intricate structures …

Abstract Constructing photo-realistic Free-Viewpoint Videos (FVVs) of dynamic scenes from
multi-view videos remains a challenging endeavor. Despite the remarkable advancements …

We introduce FaceTalk a novel generative approach designed for synthesizing high-fidelity
3D motion sequences of talking human heads from input audio signal. To capture the …

Generating 3D models lies at the core of computer graphics and has been the focus of
decades of research. With the emergence of advanced neural representations and …

DiffusionAvatars synthesizes a high-fidelity 3D head avatar of a person offering intuitive
control over both pose and expression. We propose a diffusion-based neural renderer that …

Abstract 3D head animation has seen major quality and runtime improvements over the last
few years, particularly empowered by the advances in differentiable rendering and neural …

Portrait Animation aims to synthesize a lifelike video from a single source image, using it as
an appearance reference, with motion (ie, facial expressions and head pose) derived from a …