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GANmut: Learning Interpretable Conditional Space for Gamut of Emotions
(2021)2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Humans can communicate emotions through a plethora of facial expressions, each with its own intensity, nuances and ambiguities. The generation of such variety by means of conditional GANs is limited to the expressions encoded in the used label system. These limitations are caused either due to burdensome labelling demand or the confounded label space. On the other hand, learning from inexpensive and intuitive basic categorical emotion ...Conference Paper