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We present DeepExpr, a novel expression transfer system from humans tomultiple stylized characters via deep learning. We developed : 1) a data-drivenperceptual model of facial expressions, 2) a novel stylized character data setwith cardinal expression annotations : FERG (Facial Expression Research Group)- DB (added two new characters), and 3) . We evaluated our method on a set ofretrieval tasks on our collected stylized character dataset of expressions. Wehave also shown that the ranking order predicted by the proposed features ishighly correlated with the ranking order provided by a facial expression expertand Mechanical Turk (MT) experiments.

Learning Stylized Character Expressions from Humans