This repository provides a deep learning method for accurate 3D face reconstruction from 2D images. It uses a hybrid-level weakly-supervised training approach with CNNs to reconstruct face geometry and high-fidelity textures from single photos, handling pose variations and occlusions. The project implements the 2019 CVPRW paper that won the Best Paper Award and has been superseded by a higher-performing PyTorch implementation.