Twin-GAN -- Unpaired Cross-Domain Image Translation with Weight-Sharing GANs

26 Aug 2018 Jerry Li

We present a framework for translating unlabeled images from one domain into analog images in another domain. We employ a progressively growing skip-connected encoder-generator structure and train it with a GAN loss for realistic output, a cycle consistency loss for maintaining same-domain translation identity, and a semantic consistency loss that encourages the network to keep the input semantic features in the output... (read more)

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