This repository implements the networks from the paper on 2D and 3D face alignment, predicting facial landmarks using deep convolutional neural networks. It provides inference code for the 3D-FAN (Face Alignment Network) models trained on 230,000 3D facial landmarks. The demo uses Torch7 and Python, with GPU support via CUDA/cuDNN.