Customizing painterly rendering styles using stroke processes

  • Authors:
  • Mingtian Zhao;Song-Chun Zhu

  • Affiliations:
  • University of California, Los Angeles & Lotus Hill Institute;University of California, Los Angeles & Lotus Hill Institute

  • Venue:
  • Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Non-Photorealistic Animation and Rendering
  • Year:
  • 2011

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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.