Example-Based Style Synthesis

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.

Bibtex citation

@inproceedings{Drori03ExampleBased,
   author = {Iddo Drori and Daniel Cohen-Or and Hezy Yeshurun},
   title = {Example-Based Style Synthesis},
   booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
   pages = {143--150},
   year = {2003}
}