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Example based painting generation |
GUO Yan-wen, YU Jin-hui, XU Xiao-dong, WANG Jin, PENG Qun-sheng |
State Key Lab of CAD & CG, Zhejiang University, Hangzhou 310027, China; The National Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China |
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Abstract We present an approach for generating paintings on photographic images with the style encoded by the example paintings and adopt representative brushes extracted from the example paintings as the painting primitives. Our system first divides the given photographic image into several regions on which we synthesize a grounding layer with texture patches extracted from the example paintings. Then, we paint those regions using brushes stochastically chosen from the brush library, with further brush color and shape perturbations. The brush direction is determined by a direction field either constructed by a convenient user interactive manner or synthesized from the examples. Our approach offers flexible and intuitive user control over the painting process and style.
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Received: 07 April 2006
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