APPLICATION OF GENERATIVE AI MODELS IN DECONSTRUCTION AND INNOVATIVE DESIGN OF TRADITIONAL PATTERNS FOR SHU EMBROIDERY FANS
DOI:
https://doi.org/10.35631/IJIREV.825016Keywords:
Traditional Pattern, Innovative Design, Inheritance And Innovation, Generative AI, Shu Embroidery FanAbstract
This research endeavors to address the challenges of intergenerational inheritance and to advance Shu embroidery by exploring the use of generative Artificial Intelligence (AI) to deconstruct and design innovative traditional Shu embroidery fan patterns. A triphasic AI-driven methodological framework was formulated, encompassing AI-facilitated pattern deconstruction and domain-specific dataset construction. The framework also included optimizing the Stable Diffusion model via Low-Rank Adaptation (LoRA) fine-tuning and a comprehensive assessment of AI-generated patterns, integrating objective metrics (Inception Score [IS], Fréchet Inception Distance [FID]) and subjective evaluation protocols. Empirical findings demonstrate that the optimized model proficiently captures the stylistic essence of traditional Shu embroidery. The model also attains substantial innovations in pattern elements, compositional structures, and color harmonization, thereby striking a balance between heritage preservation and creative advancement. Overall, the research concludes that generative AI serves as a pivotal driver of innovation in Shu embroidery fan patterns, offering a technical paradigm for the organic integration of inheritance and innovation in the protection and development of Intangible Cultural Heritage (ICH).
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