DECA: Learning an Animatable Detailed 3D Face Model from In-the-Wild Images

DECA reconstructs a 3D head model with detailed facial geometry from a single input image. The resulting 3D head model can be easily animated. The main features: * Reconstruction: produces head pose, shape, detailed face geometry, and lighting information from a single image. * Animation: animate the face with realistic wrinkle deformations. * Robustness: tested on facial images in unconstrained conditions. Our method is robust to various poses, illuminations and occlusions. * Accurate: state-of-the-art 3D face shape reconstruction on the NoW Challenge benchmark dataset.
DECA reconstructs a 3D head model with detailed facial geometry from a single input image. The resulting 3D head model can be easily animated.
The main features:
- Reconstruction: produces head pose, shape, detailed face geometry, and lighting information from a single image.
- Animation: animate the face with realistic wrinkle deformations.
- Robustness: tested on facial images in unconstrained conditions. Our method is robust to various poses, illuminations and occlusions.
- Accurate: state-of-the-art 3D face shape reconstruction on the NoW Challenge benchmark dataset.
Release Date: | 03 May 2021 |
licence_type: | PS:License 1.0 |
Authors: | Yao Feng, Haiwen Feng, Michael Black, Timo Bolkart |
Repository: | https://github.com/YadiraF/DECA |