Style Transfer Via Texture Synthesis

@article{Elad2016StyleTV,
  title={Style Transfer Via Texture Synthesis},
  author={Michael Elad and Peyman Milanfar},
  journal={IEEE Transactions on Image Processing},
  year={2016},
  volume={26},
  pages={2338-2351}
}
Style transfer is a process of migrating a style from a given image to the content of another, synthesizing a new image, which is an artistic mixture of the two. [] Key Method We modify Kwatra’s algorithm in several key ways in order to achieve the desired transfer, with emphasis on a consistent way for keeping the content intact in selected regions, while producing hallucinated and rich style in others. The results obtained are visually pleasing and diverse, shown to be competitive with the recent CNN style…

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Style Permutation for Diversified Arbitrary Style Transfer

This article proposes a light-weighted yet efficient method named style permutation (SP) to tackle the limitation of the diversity without harming the original style information and shows that this method could generate diverse outputs for arbitrary styles when integrated into both WCT (whitening and coloring transform) and AdaIN (adaptive instance normalization)-based methods.

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References

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A simpler optimization objective based on local matching that combines the content structure and style textures in a single layer of the pretrained network is proposed that has desirable properties such as a simpler optimization landscape, intuitive parameter tuning, and consistent frame-by-frame performance on video.

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