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Sichuan embroidery, as one of China's traditional intangible cultural heritages, is renowned worldwide for its exquisite craftsmanship, profound cultural connotations, and unique artistic value. However, in the face of the impacts of modernization and globalization, the inheritance and development of Sichuan embroidery are facing numerous challenges. This article focuses on the digital preservation and innovation of Shu embroidery patterns, exploring the development model of Shu embroidery, a cultural heritage of Sichuan, by introducing artificial intelligence knowledge graphs and AIGC (Generative AI) technology. This paper focuses on Shu embroidery patterns as the core of the study and constructs the ontology of the Shu embroidery knowledge graph. It systematized the multidimensional information of Shu embroidery patterns, including cultural connotations, historical background, thematic meanings, embroidery techniques, and color structures, forming a structured digital resource. On this basis, by combining knowledge graphs with AIGC technology, a text-to-image pattern creation method was developed, achieving innovative design and efficient generation of Shu embroidery patterns. Research results indicate that knowledge graphs and AIGC technology play a significant role in the digital protection and innovation of Shu embroidery patterns. They not only achieve the modernization and inheritance of traditional culture but also provide new ideas for the industrial development of Shu embroidery art. This study holds important theoretical value and practical significance for the digital protection, intelligent innovation, and global dissemination of intangible cultural heritage.
Ying et al. (Fri,) studied this question.