GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image

Understand

Recently, we have witnessed the explosive growth of various volumetric representations in modeling animatable head avatars.

• However, due to the diversity of frameworks, there is no practical method to support high-level applications like 3D head avatar editing across different representations.
• In this paper, we propose a generic avatar editing approach that can be universally applied to various 3DMM driving volumetric head avatars.
• To achieve this goal, we design a novel expression-aware modification generative model, which enables lift 2D editing from a single image to a consistent 3D modification field.