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杨丽洁, 徐添辰, 吴恩华. 生成中国花卉水墨画的笔画风格化方法[J]. 计算机辅助设计与图形学学报, 2020, 32(11): 1721-1730. DOI: 10.3724/SP.J.1089.2020.18178
引用本文: 杨丽洁, 徐添辰, 吴恩华. 生成中国花卉水墨画的笔画风格化方法[J]. 计算机辅助设计与图形学学报, 2020, 32(11): 1721-1730. DOI: 10.3724/SP.J.1089.2020.18178
Yang Lijie, Xu Tianchen, Wu Enhua. Generation of Aesthetic Chinese Flower Painting by Stroke-Based Stylization[J]. Journal of Computer-Aided Design & Computer Graphics, 2020, 32(11): 1721-1730. DOI: 10.3724/SP.J.1089.2020.18178
Citation: Yang Lijie, Xu Tianchen, Wu Enhua. Generation of Aesthetic Chinese Flower Painting by Stroke-Based Stylization[J]. Journal of Computer-Aided Design & Computer Graphics, 2020, 32(11): 1721-1730. DOI: 10.3724/SP.J.1089.2020.18178

生成中国花卉水墨画的笔画风格化方法

Generation of Aesthetic Chinese Flower Painting by Stroke-Based Stylization

  • 摘要: 为实现电子化创作中国水墨画,提出一个绘画工具,通过对在照片上粗略勾勒的线条进行风格化,生成具有花卉水墨画风格的艺术笔画.首先用户勾勒线条并自动修正,它们分别作为风格模板的候选笔画和照片上风格化目标的基本路径;然后为每个基本路径选择最佳的风格模板笔画;通过形状计算和纹理合成,将最佳的风格模板映射至基本路径.实验结果表明,与已有的以整幅画为目标的风格迁移方法相比,文中提出的方法可充分展现艺术特征的细节并捕捉用户意图,且生成的绘画作品接近指定的艺术风格,满足普通用户的审美需求.在应用价值方面,该工具支持触摸式设备,可用于艺术教育与实践.

     

    Abstract: We propose a novel drawing tool for the easy generation of artistic strokes in the style of flower painting,which is the most representative one in Chinese paintings,through stylizing rough sketch lines over a photo image.While the existing style migration methods aim at processing the entire image,we depict that a stroke-based stylization framework better performs detailed style features and catches the user’s intent.The steps in our technique are first to correct user inaccurate strokes that mark candidates of style patterns on a painting and skeletal paths to be stylized over a photograph,then to select the optimal pattern for every skeletal stroke,and finally,to map the pattern onto skeletal stroke by shape calculation and texture synthesis.Our experiments prove that the paintings our technique helped to generate show close to the specified style and are aesthetically satisfied by normal users.This tool works well for touch devices and can be potentially applied to art education.

     

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