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We propose FlashAvatar, a novel and lightweight 3D animatable avatarrepresentation that could reconstruct a digital avatar from a short monocularvideo sequence in minutes and render high-fidelity photo-realistic images at300FPS on a consumer-grade GPU. To achieve this, we maintain a uniform 3DGaussian field embedded in the surface of a parametric face model and learnextra spatial offset to model non-surface regions and subtle facial details.While full use of geometric priors can capture high-frequency facial detailsand preserve exaggerated expressions, proper initialization can help reduce thenumber of Gaussians, thus enabling super-fast rendering speed. Extensiveexperimental results demonstrate that FlashAvatar outperforms existing worksregarding visual quality and personalized details and is almost an order ofmagnitude faster in rendering speed. Project page:https://ustc3dv.github.io/FlashAvatar/

FlashAvatar: High-fidelity Head Avatar with Efficient Gaussian Embedding