NAM: Non-Adversarial Unsupervised Domain Mapping

ECCV 2018 Yedid HoshenLior Wolf

Several methods were recently proposed for the task of translating images between domains without prior knowledge in the form of correspondences. The existing methods apply adversarial learning to ensure that the distribution of the mapped source domain is indistinguishable from the target domain, which suffers from known stability issues... (read more)

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