Image Style Transfer Using Convolutional Neural Networks

@article{Gatys2016ImageST,
  title={Image Style Transfer Using Convolutional Neural Networks},
  author={Leon A. Gatys and Alexander S. Ecker and M. Bethge},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={2414-2423}
}
  • Leon A. Gatys, Alexander S. Ecker, M. Bethge
  • Published 2016
  • Computer Science
  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • Rendering the semantic content of an image in different styles is a difficult image processing task. [...] Key Method Here we use image representations derived from Convolutional Neural Networks optimised for object recognition, which make high level image information explicit. We introduce A Neural Algorithm of Artistic Style that can separate and recombine the image content and style of natural images.Expand Abstract
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