GANILLA: Generative Adversarial Networks for Image to Illustration Translation

@article{Hicsonmez2020GANILLAGA,
  title={GANILLA: Generative Adversarial Networks for Image to Illustration Translation},
  author={Samet Hicsonmez and Nermin Samet and Emre Akbas and Pinar Duygulu Sahin},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.05638}
}
  • Samet Hicsonmez, Nermin Samet, +1 author Pinar Duygulu Sahin
  • Published in Image Vis. Comput. 2020
  • Mathematics, Computer Science
  • In this paper, we explore illustrations in children's books as a new domain in unpaired image-to-image translation. We show that although the current state-of-the-art image-to-image translation models successfully transfer either the style or the content, they fail to transfer both at the same time. We propose a new generator network to address this issue and show that the resulting network strikes a better balance between style and content. There are no well-defined or agreed-upon evaluation… CONTINUE READING

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