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In this work, we present a novel learning based approach to reconstruct 3D faces from a single or multiple images. Our method uses a simple yet powerful architecture based on siamese neural networks that helps to extract relevant features from each view while keeping the models small. Instead of minimizing multiple objectives, we propose to simultaneously learn the 3D shape and the individual camera poses by using a single term loss based on the reprojection error, which generalizes from one todoi:10.1109/iccvw.2019.00373 dblp:conf/iccvw/RamonEN19 fatcat:er6aofjccvbmhl35ffcj55zue4