Improving Style Transfer with Calibrated Metrics

@article{Yeh2020ImprovingST,
  title={Improving Style Transfer with Calibrated Metrics},
  author={Mao-Chuang Yeh and Shuai Tang and Anand Bhattad and Chuhang Zou and David Alexander Forsyth},
  journal={2020 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  year={2020},
  pages={3149-3157}
}
Style transfer produces a transferred image which is a rendering of a content image in the manner of a style image. We seek to understand how to improve style transfer.To do so requires quantitative evaluation procedures, but current evaluation is qualitative, mostly involving user studies. We describe a novel quantitative evaluation procedure. Our procedure relies on two statistics: the Effectiveness (E) statistic measures the extent that a given style has been transferred to the target, and… Expand
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