  We propose FlashAvatar, a novel and lightweight 3D animatable avatar
representation that could reconstruct a digital avatar from a short monocular
video sequence in minutes and render high-fidelity photo-realistic images at
300FPS on a consumer-grade GPU. To achieve this, we maintain a uniform 3D
Gaussian field embedded in the surface of a parametric face model and learn
extra spatial offset to model non-surface regions and subtle facial details.
While full use of geometric priors can capture high-frequency facial details
and preserve exaggerated expressions, proper initialization can help reduce the
number of Gaussians, thus enabling super-fast rendering speed. Extensive
experimental results demonstrate that FlashAvatar outperforms existing works
regarding visual quality and personalized details and is almost an order of
magnitude faster in rendering speed. Project page:
https://ustc3dv.github.io/FlashAvatar/
