An approach to synthesize highly photorealistic synthetic images of 3D object models, which is used to train a convolutional neural network for detecting the objects in real images.
A dataset of 100k synthetic faces with 2D landmark and per-pixel segmentation labels from a procedurally-generated parametric 3D face model with a comprehensive library of hand-crafted assets