Perceiving Systems PS:License 1.0 2021-05-03

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

Deca

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