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We propose coupled generative adversarial network (CoGAN) for learning a joint distribution of multi-domain images. pp no 50 tahun 2012 In contrast to the existing approaches, which require tuples of corresponding images in different domains in the training set, CoGAN can learn a joint distribution without any tuple of corresponding images It can learn a joint distribution with just samples drawn from the