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Paper · arXiv

F3G-Avatar : Face Focused Full-body Gaussian Avatar

Existing full-body Gaussian avatar methods primarily optimize global reconstruction quality and often fail to preserve fine-grained facial geometry and expression details. This challenge arises from limited facial representational capacity that causes difficulties in modeling high-frequency pose-dependent deformations. To address this, we propose F3G-Avatar, a full-body, face-aware avatar synthesis method that reconstructs animatable human representations from multi-view RGB video and regressed pose/shape parameters. Starting from a clothed Momentum Human Rig (MHR) template, front/back positional maps are rendered and decoded into 3D Gaussians through a two-branch architecture: a body bra...

AuthorsWillem Menu, Erkut Akdag, Pedro Quesado et al.
Primary categorycs.CV
Published10 April 2026
Last updated at source10 April 2026
cs.CVcs.AI
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