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 …

We present AvatarReX, a new method for learning NeRF-based full-body avatars from video
data. The learnt avatar not only provides expressive control of the body, hands and the face …

We propose FlashAvatar a novel and lightweight 3D animatable avatar representation that
could reconstruct a digital avatar from a short monocular video sequence in minutes and …

In recent years, Neural Radiance Fields (NeRF) has made remarkable progress in the field
of computer vision and graphics, providing strong technical support for solving key tasks …

Creating digital avatars from textual prompts has long been a desirable yet challenging task.
Despite the promising results achieved with 2D diffusion priors, current methods struggle to …

Head avatars animated by visual signals have gained popularity particularly in cross-driving
synthesis where the driver differs from the animated character a challenging but highly …

The ability to animate photo-realistic head avatars reconstructed from monocular portrait
video sequences represents a crucial step in bridging the gap between the virtual and real …

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 …

Existing approaches to animatable NeRF-based head avatars are either built upon face
templates or use the expression coefficients of templates as the driving signal. Despite the …