We present a deep neural network for removing undesirable shading features from an unconstrained portrait image, recovering the underlying texture. Our training scheme incorporates three regularization strategies: masked loss, to emphasize high-frequency features; soft-shadow which improves sensitivity subtle changes in lighting; and shading-offset estimation, supervise separation of method dem...