http://bit.ly/stroke-processes
Customizing Painterly Rendering Styles Using Stroke Processes
Mingtian Zhao
Song-Chun Zhu
University of California, Los Angeles & Lotus Hill Institute
Abstract
In this paper, we study the stroke placement problem in painterly rendering, and present a solution named stroke processes, which enables intuitive and interactive customization of painting styles by mapping perceptual characteristics to rendering parameters. Using our method, a user can adjust styles (e.g., Fig.1) easily by controlling these intuitive parameters. Our model and algorithm are capable of reflecting various styles in a single framework, which includes point processes and stroke neighborhood graphs to model the spatial layout of brush strokes, and stochastic reaction-diffusion processes to compute the levels and contrasts of their attributes to match desired statistics. We demonstrate the rendering quality and flexibility of this method with extensive experiments.BibTeX
@inproceedings{strokeprocesses-npar11,
author = {Mingtian Zhao and Song-Chun Zhu},
title = {Customizing Painterly Rendering Styles Using Stroke Processes},
booktitle = {NPAR '11: Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Non-Photorealistic Animation and Rendering},
year = {2011},
isbn = {978-1-4503-0907-3},
pages = {137--146},
location = {Vancouver, British Columbia, Canada},
doi = {http://doi.acm.org/10.1145/2024676.2024698},
publisher = {ACM},
address = {New York, NY, USA},
}
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