ML Anthology

Example-Based Style Synthesis

Iddo Drori, Daniel Cohen-Or, Hezy Yeshurun
CVPR 2003 pp. 143-150
doi:10.1109/CVPR.2003.1211464 /cvpr/2003/drori2003cvpr-example/

Abstract

We introduce an example-based synthesis technique that extrapolates novel styles for a given input image. The technique is based on separating the style and content of image fragments. Given an image with a new style and content, it is first adaptively partitioned into fragments. Stitching together novel fragments produces a coherent image in a new style for a given content. The aggregate of synthesized fragments approximates a globally non-linear model with a set of locally linear models. We show the result of our method for various artistic, sketch, and texture filters and painterly styles applied to different image content classes.

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Cite

Text

Drori et al. "Example-Based Style Synthesis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003. doi:10.1109/CVPR.2003.1211464

Markdown

[Drori et al. "Example-Based Style Synthesis." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003.](https://mlanthology.org/cvpr/2003/drori2003cvpr-example/) doi:10.1109/CVPR.2003.1211464

BibTeX

@inproceedings{drori2003cvpr-example,
  title     = {{Example-Based Style Synthesis}},
  author    = {Drori, Iddo and Cohen-Or, Daniel and Yeshurun, Hezy},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2003},
  pages     = {143-150},
  doi       = {10.1109/CVPR.2003.1211464},
  url       = {https://mlanthology.org/cvpr/2003/drori2003cvpr-example/}
}