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 Matthias Bethge},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={2414-2423}
}
Rendering the semantic content of an image in different styles is a difficult image processing task. Arguably, a major limiting factor for previous approaches has been the lack of image representations that explicitly represent semantic information and, thus, allow to separate image content from style. 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… CONTINUE READING

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