FiCA paper: instant Gaussian Codec avatars from a single portrait image
rsasaki0109 · x · 2026-09-16
The FiCA paper introduces a feed-forward pipeline that generates lifelike, drivable Gaussian Codec avatars from a single portrait image.
Key points:
- Single-image input gives limited visual cues for inferring 3D head appearance and geometry
- The system combines human-centric vision foundation models with a diffusion model to exploit partial observations
- A diffusion model learns a generative mapping from partial observations to complete, authentic 3D mesh reconstruction
- A feed-forward mesh refinement network further improves quality
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