Our method reconstructs high-quality 3D faces from single images in just 10ms, regardless of input viewpoint.
In Submission
We present FastAvatar, a feed-forward framework for pose-invariant 3D face reconstruction from single images using 3D Gaussian Splatting. Our method directly predicts 3D Gaussian parameters in a single forward pass, eliminating the need for test-time optimization while handling arbitrary viewpoints.
We construct a canonical face model by averaging individual 3DGS models...
Our decoder predicts identity-specific offsets from the canonical model...
The encoder maps images from any viewpoint to consistent latent codes...
Single input view used to reconstruct the avatar.
In Submission
@inproceedings{****}