基于AIGC的绵竹年画文化基因提取与文创设计创新应用研究

张艺川

包装工程(设计栏目) ›› 2025, Vol. 46 ›› Issue (24) : 248-255.

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包装工程(设计栏目) ›› 2025, Vol. 46 ›› Issue (24) : 248-255. DOI: 10.19554/j.cnki.1001-3563.2025.24.020
工业设计

基于AIGC的绵竹年画文化基因提取与文创设计创新应用研究

  • 张艺川
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AIGC-Based Extraction of Cultural Genes from Mianzhu New Year Paintings and Their Innovative Application in Cultural and Creative Design

  • ZHANG Yichuan
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文章历史 +

摘要

目的 聚焦于生成式人工智能(AIGC)技术介入国家级非物质文化遗产绵竹年画在文创设计中的创新路径研究,探索数智赋能下传统艺术的文化基因提取与再创造机制,推动非物质文化遗产的数字化传承与价值再生。方法 以文化基因理论为基础,结合数字人文研究方法,提出“AIGC非遗文化要素解构—重组”模型。通过建立绵竹年画纹样的多模态数据,采用“文化特征语义解析—数字生成算法迭代—多场景设计输出”的流程,扩散模型实现文化符号的智能化提取与转译,完成传统艺术风格的动态迁移与适配。结果 AIGC技术能够突破传统设计的经验依赖,通过文化基因的数字化转译,实现绵竹年画从符号拼贴到重构、从物质载体到数字体验的模式转型。结论 实践层面产出文创设计的多元形态,提升年画文化在当代受众中的传播活力。理论层面为AIGC技术激活非遗传统艺术的数字化创新提供方法论支持,为非遗文创的智能化发展提供新的技术路径,也为传统文化在数字经济时代的创新性转化提供理论参照。

Abstract

Focusing on the innovative path of integrating artificial intelligence generated content (AIGC) technology into the cultural and creative design of Mianzhu New Year Paintings, a national intangible cultural heritage, the work aims to explore the mechanism of cultural gene extraction and recreation of traditional art under digital and intelligent empowerment, and promote the digital inheritance and value regeneration of intangible cultural heritage. Based on the cultural gene theory and combined with digital humanities research methods, an "AIGC-based intangible cultural heritage elements deconstruction-reconstruction" model was proposed. By establishing multimodal data of Mianzhu New Year Painting patterns and adopting the process of "cultural feature semantic analysis—digital generation algorithm iteration—multi-scenario design output", the diffusion model realized the intelligent extraction and translation of cultural symbols, and completed the dynamic migration and adaptation of traditional art styles. AIGC technology could break through the experience dependence of traditional design. Through the digital translation of cultural genes, it realized the model transformation of Mianzhu New Year Paintings from symbol collage to reconstruction and from material carriers to digital experiences. At the practical level, the study produces multiple forms of cultural and creative designs and enhances the communication vitality of New Year Painting culture among contemporary audiences. At the theoretical level, it provides methodological support for AIGC technology to activate the digital innovation of traditional intangible cultural heritage art, offers new technical paths for the intelligent development of intangible cultural heritage cultural and creative industries, and provides a theoretical reference for the innovative transformation of traditional culture in the digital economy era.

关键词

数字化非遗 / 绵竹年画 / 文创设计 / 生成式人工智能(AIGC)

Key words

digital intangible cultural heritage / Mianzhu New Year Paintings / cultural and creative design / artificial intelligence generated content (AIGC)

引用本文

导出引用1
张艺川. 基于AIGC的绵竹年画文化基因提取与文创设计创新应用研究[J]. 包装工程. 2025, 46(24): 248-255 https://doi.org/10.19554/j.cnki.1001-3563.2025.24.020
ZHANG Yichuan. AIGC-Based Extraction of Cultural Genes from Mianzhu New Year Paintings and Their Innovative Application in Cultural and Creative Design[J]. Packaging Engineering. 2025, 46(24): 248-255 https://doi.org/10.19554/j.cnki.1001-3563.2025.24.020
中图分类号: TB472   

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基金

绵阳市社会科学研究基地四川民族手工艺研究中心项目(SMS24-23)

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