Split and Match: Example-Based Adaptive Patch Sampling for Unsupervised Style Transfer

Oriel Frigo; Neus Sabater; Julie Delon; Pierre Hellier

CVPR 2016poster150 citations

Split and Match: Example-Based Adaptive Patch Sampling for Unsupervised Style Transfer

Oriel Frigo, Neus Sabater, Julie Delon, Pierre Hellier

Abstract

This paper presents a novel unsupervised method to transfer the style of an example image to a source image. The complex notion of image style is here considered as a local texture transfer, eventually coupled with a global color transfer. For the local texture transfer, we propose a new method based on an adaptive patch partition that captures the style of the example image and preserves the structure of the source image. More precisely, this example-based partition predicts how well a source patch matches an example patch. Results on various images show that our method outperforms the most recent techniques.

BibTeX

@inproceedings{cvpr2016_splitandmatchexa,
  title = {Split and Match: Example-Based Adaptive Patch Sampling for Unsupervised Style Transfer},
  author = {Oriel Frigo and Neus Sabater and Julie Delon and Pierre Hellier},
  booktitle = {CVPR 2016},
  year = {2016}
}