摘要

传统服饰数字化拓展了形制与纹样的保存和再创作方式，但视觉再现与文化理解、技艺学习之间仍存在距离。本文采用文献分析与理论辨析方法，以贵州台江苗族服饰项目资料及施洞苗绣研究为主要文献例证，分析AIGC介入传承的知识关联、视觉生成与情境交互机制，辨析符号失真、知识脱嵌和主体失衡的现实限度，提出知识溯源、生成规约、叙事转化与参与保障的实践路径。研究认为，AIGC的传承价值取决于数字表达能否联系地方知识与生活实践；机构应用应将文化真实性和主体参与落实于内容生产，并以人力、经费及维护能力约束实施规模。

Abstract

The digitization of traditional dress has expanded opportunities for preserving and creatively reinterpreting garment forms and decorative motifs. However, gaps remain between visual representation, cultural understanding, and craft learning. Through literature analysis and theoretical inquiry, this study draws primarily on documentation of Miao dress heritage in Taijiang, Guizhou, and research on Miao embroidery in Shidong. It examines how AI-generated content (AIGC) supports heritage transmission through knowledge association, visual generation, and contextual interaction, while identifying limitations involving symbolic distortion, the decontextualization of knowledge, and imbalances in agency. It proposes practical pathways encompassing knowledge provenance, guidelines for content generation, narrative transformation, and safeguards for participation. The study argues that the value of AIGC for heritage transmission depends on whether digital representations remain connected to local knowledge and everyday practices. Institutional applications should embed cultural authenticity and the participation of heritage bearers in content production, with the scale of implementation determined by available personnel, funding, and maintenance capacity.

参考文献