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  Controlling Perceptual Factors in Neural Style Transfer

Gatys, L., Ecker, A., Bethge, M., Hertzmann, A., & Shechtman, B. (2017). Controlling Perceptual Factors in Neural Style Transfer. In 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) (pp. 3730-3738). Piscataway, NJ, USA: IEEE.

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Gatys, LA1, Author
Ecker, AS1, Author              
Bethge, M1, Author              
Hertzmann, A, Author
Shechtman, B, Author
Affiliations:
1University of Tübingen, ou_persistent22              

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 Abstract: Neural Style Transfer has shown very exciting results enabling new forms of image manipulation. Here we extend the existing method to introduce control over spatial location, colour information and across spatial scale. We demonstrate how this enhances the method by allowing high-resolution controlled stylisation and helps to alleviate common failure cases such as applying ground textures to sky regions. Furthermore, by decomposing style into these perceptual factors we enable the combination of style information from multiple sources to generate new, perceptually appealing styles from existing ones. We also describe how these methods can be used to more efficiently produce large size, high-quality stylisation. Finally we show how the introduced control measures can be applied in recent methods for Fast Neural Style Transfer.

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 Dates: 2017-07
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: DOI: 10.1109/CVPR.2017.397
BibTex Citekey: GatysEBHS2017
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Title: 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)
Place of Event: Honolulu, HI, USA
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Title: 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3730 - 3738 Identifier: ISBN: 978-1-5386-0457-1