Human-Machine Collaborative Reconstruction of the Azalea Pattern of the Chuxiong Yi Ethnic Group Driven by AIGC

Abstract

In the context of transforming traditional cultural symbols, the innovation of traditional patterns often faces challenges such as morphological rigidity and insufficient integration with modern aesthetics. This study takes the Azalea pattern of the Yi ethnic group in Chuxiong, Yunnan, as its research object. After analyzing its visual characteristics and cultural connotations, a human-machine collaborative design model integrating AIGC technology is constructed. By applying image segmentation and style transfer techniques through the Nanobanana intelligent platform, the digital extraction and recombination of pattern elements are accomplished. The study generates pattern variants and promotes their application in cultural and creative product transformation. The results verify the effectiveness of this model in enhancing design efficiency and expanding creative expression, providing a methodological foundation for the dynamic inheritance of regional cultural symbols.