Perceptual Losses for Real-Time Style Transfer and Super-Resolution

@article{Johnson2016PerceptualLF,
  title={Perceptual Losses for Real-Time Style Transfer and Super-Resolution},
  author={Justin Johnson and Alexandre Alahi and Li Fei-Fei},
  journal={ArXiv},
  year={2016},
  volume={abs/1603.08155}
}
We consider image transformation problems, where an input image is transformed into an output image. [] Key Method We combine the benefits of both approaches, and propose the use of perceptual loss functions for training feed-forward networks for image transformation tasks. We show results on image style transfer, where a feed-forward network is trained to solve the optimization problem proposed by Gatys et al. in real-time. Compared to the optimization-based method, our network gives similar qualitative…

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