7 papers
How to Build Digital Humans? From Priors to Photorealistic Avatars
Wojciech Zielonka, Tobias Kirschstein, Timo Bolkart +8
This state-of-the-art report provides an overview of controllable 3D human avatar creation. We describe current 3D avatar systems, which typically consist of three stages: (i) lear…
Feed-forward Gaussian Registration for Head Avatar Creation and Editing
Malte Prinzler, Paulo Gotardo, Siyu Tang +1
We present MATCH (Multi-view Avatars from Topologically Corresponding Heads), a multi-view Gaussian registration method for high-quality head avatar creation and editing. State-of-…
Pixels2Points: Fusing 2D and 3D Features for Facial Skin Segmentation
Victoria Yue Chen, Daoye Wang, Stephan Garbin +4
Face registration deforms a template mesh to closely fit a 3D face scan, the quality of which commonly degrades in non-skin regions (e.g., hair, beard, accessories), because the op…
TeGA: Texture Space Gaussian Avatars for High-Resolution Dynamic Head Modeling
Gengyan Li, Paulo Gotardo, Timo Bolkart +5
Sparse volumetric reconstruction and rendering via 3D Gaussian splatting have recently enabled animatable 3D head avatars that are rendered under arbitrary viewpoints with impressi…
Synthetic Prior for Few-Shot Drivable Head Avatar Inversion
Wojciech Zielonka, Stephan J. Garbin, Alexandros Lattas +5
We present SynShot, a novel method for the few-shot inversion of a drivable head avatar based on a synthetic prior. We tackle three major challenges. First, training a controllable…
Gaussian Eigen Models for Human Heads
Wojciech Zielonka, Timo Bolkart, Thabo Beeler +1
Current personalized neural head avatars face a trade-off: lightweight models lack detail and realism, while high-quality, animatable avatars require significant computational reso…