AIGC Empowers the Innovation and Fashion Design Practice of Intangible Cultural Heritage She Ethnic Costume Cultural Elements: A Path Exploration

非物质文化遗产 服装设计 文化遗产 社会学 民族 文化遗产管理 口译(哲学) 服装 全球化 工业遗产 视觉艺术 美学 文化分析 风格(视觉艺术) 文化多样性 图腾 数字化 消费(社会学) 拨款 生成设计 工程类 创造力 概念框架 创意产业
作者
Yi Xie
出处
期刊:Studies in social science research [Scholink Co, Ltd.]
卷期号:6 (4): p65-p65
标识
DOI:10.22158/sssr.v6n4p65
摘要

Against the backdrop of accelerating globalization and digitalization, traditional intangible cultural heritage faces a severe crisis of inheritance. This paper takes the national-level intangible cultural heritage project—the traditional costumes of the She ethnic group—as its research object, exploring the application potential of Artificial Intelligence Generated Content technology in the digital translation and redesign of intangible cultural heritage clothing. Utilizing AIGC tools such as Midjourney, ChatGPT, and DALL·E, this study conducts contemporary expression and visual reconstruction of She ethnic costumes from five dimensions: clothing structure language, color expression, totem pattern symbols, craftsmanship materials, and cultural narrative. Combining this with the "Dalian Cup" International Youth Fashion Design Competition and the "Shefeng Niepan" series design practice, this research systematically analyzes the practical operational paths and innovative value of AIGC in reconstructing traditional structural modules, intelligently generating emotional colors, translating totem visual symbols, digitally integrating traditional crafts, and constructing cultural spiritual narratives. From the perspective of design style interpretation, this paper also analyzes how AIGC achieves stylized interpretation and fashionable semantic transformation of minority costume cultural elements across four aspects: conceptual art style, urban classic style, youth trend style, and neo-oriental style. The research shows that AIGC technology is not only a creative tool but also provides a platform for co-creation of ethnic culture. A tripartite integration model of "Intangible Cultural Heritage × AIGC × Fashion Design" is proposed, establishing a four-step framework of "Data Collection - Feature Extraction - Generative Training - Design Verification," providing a systematic path and research paradigm for the digital transformation and cultural revitalization of intangible cultural heritage in fashion design.
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