Research on Visual Transformation and Communication of Ouyue Intangible Cultural Heritage Resources based on Generative AI

Abstract

To address the issues of digitalization gaps and audience disconnect in the inheritance of Ouyue intangible cultural heritage (ICH), this study focuses on the application of generative AI in the visual transformation and communication of Ouyue ICH resources. It constructs a full-process closed-loop transformation framework: "Deconstruction of Ouyue ICH Resources - Custom Model Training - Diversified Visual Generation - Communication Feedback Optimization," adhering to three core principles: cultural fidelity, technical adaptability, and scenario suitability. Taking Ouyue embroidery, boxwood carving, and fine-line paper cutting as experimental objects, this study compares the transformation effects of three tools: MidJourney V6, Stable Diffusion 3, and Wenxin Yige V4. The results show that Stable Diffusion 3 achieves the best cultural fidelity, while MidJourney V6 excels in visual aesthetics. Based on the experimental findings, optimization strategies for communication are proposed from four dimensions: technical adaptation, cultural fidelity, audience precision, and scenario integration, forming a multi-stakeholder collaborative communication system. The research indicates that generative AI can provide efficient support for the visual transformation of Ouyue ICH, but it must prioritize cultural inheritance, avoid technology-centric tendencies, and compensate for deficiencies in restoring complex craftsmanship and deeply transforming cultural connotations.