This repository provides an unofficial PyTorch implementation of the CVPR 2019 paper on 3D face reconstruction. The method uses a CNN trained with hybrid-level weakly-supervised learning to reconstruct accurate 3D face geometry from single images. It achieves state-of-the-art performance on benchmarks including FaceWarehouse, MICC Florence, and NoW Challenge, and handles challenging cases like extreme poses and occlusions.