GASP: Gaussian Avatars with Synthetic Priors

Jack R. Saunders; Charlie Hewitt; Yanan Jian; Marek Kowalski; Tadas Baltrusaitis; Yiye Chen; Darren Cosker; Virginia Estellers; Nicholas Gyde; Vinay P. Namboodiri; Benjamin E. Lundell

doi:10.1109/cvpr52734.2025.00034

CVPR2025顶会

GASP: Gaussian Avatars with Synthetic Priors

Jack R. Saunders, Charlie Hewitt, Yanan Jian, Marek Kowalski, Tadas Baltrusaitis, Yiye Chen, Darren Cosker, Virginia Estellers, Nicholas Gyde, Vinay P. Namboodiri, Benjamin E. Lundell

DOI 出版方

2025年份

6顶会引用

摘要

Figure 1 . We propose GASP, a novel model for creating photorealistic, real-time, animatable, 360 • avatars from easily-captured data. We train a generative prior model of Gaussian Avatars on Synthetic data. The prior allows our model to be fit using a single image or a short video with the prior accounting for the unseen views. This lets users create their avatar with only a webcam or smartphone.