Corpus ID: 52170637

Neural Comic Style Transfer: Case Study

@article{Pesko2018NeuralCS,
  title={Neural Comic Style Transfer: Case Study},
  author={Maciej Pesko and T. Trzciński},
  journal={ArXiv},
  year={2018},
  volume={abs/1809.01726}
}
The work by Gatys et al. [1] recently showed a neural style algorithm that can produce an image in the style of another image. Some further works introduced various improvements regarding generalization, quality and efficiency, but each of them was mostly focused on styles such as paintings, abstract images or photo-realistic style. In this paper, we present a comparison of how state-of-the-art style transfer methods cope with transferring various comic styles on different images. We select… Expand
Comixify: Transform video into a comics

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