XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings

@inproceedings{Royer2018XGANUI,
  title={XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings},
  author={Amelie Royer and Konstantinos Bousmalis and Stephan Gouws and Fred Bertsch and Inbar Mosseri and Forrester Cole and Kevin Murphy},
  booktitle={Domain Adaptation for Visual Understanding},
  year={2018}
}
  • Amelie Royer, Konstantinos Bousmalis, +4 authors Kevin Murphy
  • Published in
    Domain Adaptation for Visual…
    2018
  • Computer Science
  • Style transfer usually refers to the task of applying color and texture information from a specific style image to a given content image while preserving the structure of the latter. [...] Key Method We introduce XGAN ("Cross-GAN"), a dual adversarial autoencoder, which captures a shared representation of the common domain semantic content in an unsupervised way, while jointly learning the domain-to-domain image translations in both directions.Expand Abstract

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