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.
Original language | English |
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Pages (from-to) | II/143-II/150 |
Journal | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
Volume | 2 |
State | Published - 2003 |
Event | 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2003 - Madison, WI, United States Duration: 18 Jun 2003 → 20 Jun 2003 |