基于深度学习的南京织锦数字化风格设计

Qiu Xuelin, Hou Jue, Sun Ying, Liu Zheng
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引用次数: 2

摘要

南京锦是中国传统的丝绸织物,材料珍贵,图案精美。作为世界非物质文化遗产,对南京锦进行数字化传承和创新势在必行。南京锦的数字保护包括文化内涵、形态和技术等方面。从模式数字化的角度出发,提出了一种将云锦风格转化为现代模式的深度学习模型。将生成的图像应用于纺织品生产,结果表明该模型可用于云锦图案设计。
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Digital Style Design of Nanjing Brocade Based on Deep Learning
Nanjing Brocade is a traditional Chinese silk fabric with precious materials and exquisite patterns. As the world’s intangible cultural heritage, it is essential to inherit and innovate Nanjing Brocade by digital methods. Digital protection of Nanjing Brocade includes cultural connotation, pattern and technology et al. In view of pattern digitization, this paper proposes a deep learning model which is utilized to transfer Yunjin style to modern patterns. The generated images have been applied to the textile productions, and the results show that the proposed model can be adopted by the Yunjin pattern design.
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