摘要
传统中国绘画(国画)是中国特有的绘画形式,在其基础上探索配色方案的使用,对现代设计师探索传统艺术与现代设计理念融合有重要意义,但是基于国画知识的色彩推荐系统研究较少,尚未有基于主题、物象和意境等多维度特征提供有效的配色检索和推荐的方案。为此,提出一个中国画配色方案推荐系统TCPColor,以中文文本到图像生成模型太乙为基础,使用专家标注的宋代国画数据对模型进行了微调,然后对生成图像使用视觉显著性算法、K-Means聚类和基于色彩距离的色表匹配生成了具有国画风格的配色方案,通过消融实验验证了配色方案提取方法的有效性,并通过客观色彩分析评估了生成配色方案的差异性及与国画配色方案的相似度。与国画专家和志愿者合作进行案例分析、专家评估和用户研究,证明了该研究在配色方案推荐方面的实用性。
Traditional Chinese painting(TCP)is a unique form of painting specific to China.Exploring the use of color schemes based on TCP holds significant importance for modern designers in integrating traditional art with contemporary design concepts.However,limited research was conducted on color recommendation systems based on TCP knowledge,and no effective solutions have yet been provided for color scheme retrieval and recommendation based on multi-dimensional features such as themes,objects,and artistic conceptions.A traditional Chinese painting color scheme recommendation system named TCPColor was proposed.Based on the Taiyi Chinese text-to-image generation model,this system fine-tuned the model using Song Dynasty TCP data annotated by experts.Then,it employed visual saliency algorithms,K-Means clustering,and color-distance-based palette matching on the generated images to produce color schemes that reflected the style of traditional Chinese painting.The effectiveness of the color extraction method was verified through ablation experiments,while objective color analysis was used to evaluate the distinctiveness of the generated color schemes and their similarity to traditional Chinese painting color schemes.In collaboration with TCP experts and volunteers,case studies,expert evaluations,and user research were conducted,which demonstrated the practicality of the system in recommending color schemes.
作者
张迪
张文安
姜智德
吴爱霞
孔浩
郭显
陈为
ZHANG Di;ZHANG Wenan;JIANG Zhide;WU Aixia;KONG Hao;GUO Xian;CHEN Wei(School of Computer and Communication,Lanzhou University of Technology,Lanzhou Gansu 730070,China;State Key Laboratory of CAD&CG,Zhejiang University,Hangzhou Zhejiang 310058,China)
出处
《图学学报》
北大核心
2025年第3期520-531,共12页
Journal of Graphics
基金
中央高校基本科研业务费专项资金(226-2022-00235)。
关键词
传统中国绘画
配色方案
色彩推荐系统
单词颜色关联
文本到图像生成
traditional Chinese painting
color scheme
color recommendation system
word-color association
textto-image generation
作者简介
第一作者:张迪(1987-),男,副教授,博士。主要研究方向为数据可视化、AIGC应用。E-mail:zhangdi.cuc@gmail.com;通信作者:陈为(1976-),男,教授,博士。主要研究领域为可视化、可视分析等。E-mail:chenvis@zju.edu.cn。
