Systems, Methods and Media for Deep Shape Prediction

Exemplary embodiments include a computer-implemented method of training a neural network for facial reconstruction including collecting a set of 3D head scans, combining each feature of each 3D head scan with a weight to create a modified set of 3D head scans, training the neural network using the modified set of head scans, and inputting a real digital facial image into the neural network for facial reconstruction. Further exemplary embodiments include the set of 3D head scans comprising approximately a tenth or less in quantity in comparison to a quantity of the modified set of 3D head scans. The modified set of 3D head scans may comprise features found in the set of 3D head scans or the modified set of 3D head scans may consist of features found in the set of 3D head scans.