GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation

@inproceedings{Lira2020GANHopperMG,
  title={GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation},
  author={Wallace P. Lira and Johannes Merz and Daniel Ritchie and D. Cohen-Or and Hao Zhang},
  booktitle={ECCV},
  year={2020}
}
We introduce GANHopper, an unsupervised image-to-image translation network that transforms images gradually between two domains, through multiple hops. Instead of executing translation directly, we steer the translation by requiring the network to produce in-between images that resemble weighted hybrids between images from the input domains. Our network is trained on unpaired images from the two domains only, without any in-between images. All hops are produced using a single generator along… Expand
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