GASP trains a Gaussian-avatar prior on synthetic humans, then fits and fine-tunes it to a single photo or monocular video to obtain real-time animatable 360-degree avatars.
Preface: A data-driven volumetric prior for few-shot ultra high-resolution face synthesis
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GASP: Gaussian Avatars with Synthetic Priors
GASP trains a Gaussian-avatar prior on synthetic humans, then fits and fine-tunes it to a single photo or monocular video to obtain real-time animatable 360-degree avatars.