pp cogan

We propose coupled generative adversarial network (CoGAN) for learning a joint distribution of multi-domain images. pp cogan 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. pp kapelan sama doi aesthetic It can learn a joint distribution with just samples drawn from the