CLC number: TP390
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
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GUO Yan-wen, YU Jin-hui, XU Xiao-dong, WANG Jin, PENG Qun-sheng. Example based painting generation[J]. Journal of Zhejiang University Science A, 2006, 7(7): 1152-1159.
@article{title="Example based painting generation",
author="GUO Yan-wen, YU Jin-hui, XU Xiao-dong, WANG Jin, PENG Qun-sheng",
journal="Journal of Zhejiang University Science A",
volume="7",
number="7",
pages="1152-1159",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A1152"
}
%0 Journal Article
%T Example based painting generation
%A GUO Yan-wen
%A YU Jin-hui
%A XU Xiao-dong
%A WANG Jin
%A PENG Qun-sheng
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 7
%P 1152-1159
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A1152
TY - JOUR
T1 - Example based painting generation
A1 - GUO Yan-wen
A1 - YU Jin-hui
A1 - XU Xiao-dong
A1 - WANG Jin
A1 - PENG Qun-sheng
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 7
SP - 1152
EP - 1159
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A1152
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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