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2024, 04, v.24 93-103
基于AIGC技术的土家织锦纹样创新设计研究
基金项目(Foundation): 丝绸文化传承与产品设计数字文化和旅游部重点实验室开放基金资助
邮箱(Email):
DOI: 10.19883/j.1009-9034.2024.0368
摘要:

人工智能生成内容(Artificial Intelligence Generated Content, AIGC)技术的出现为非物质文化遗产的可持续发展提供了新质动力。作为国家级非物质文化遗产,土家织锦蕴含着独特的民族特色和深厚的文化内涵,为利用AIGC技术深入挖掘土家织锦提供了广阔的空间。为了实现土家织锦图案的智能提取和生成,本研究首先利用稳定扩散模型提取图案元素,然后将LoRA模型与计算机图像处理技术相结合,再结合触发词,实现织锦图案的自动生成。通过层次分析法(Analysis Hierarchy Process, AHP)确认了生成图案的有效性和可行性,证明了它们与土家织锦的特点一致。此外,本研究还探讨了生成图案在创新服装设计中的应用前景。通过将非物质文化遗产嵌入数字生成技术,该研究促进了图案设计的创新,为传统文化的传播和振兴作出了重要贡献。

Abstract:

The emergence of AIGC technology has injected new vitality into the sustainable development of intangible cultural heritage. As a national intangible cultural heritage, Tujia brocade embodies unique ethnic characteristics and profound cultural connotations, offering extensive opportunities for in-depth exploration using AIGC technology. To achieve intelligent extraction and generation of Tujia brocade patterns, this study first utilizes a Stable Diffusion model to extract pattern elements. Subsequently, it integrates the LoRA model and computer image processing techniques, combined with trigger words, to realize the automatic generation of brocade patterns. The validity and feasibility of the generated patterns were confirmed through an analytical hierarchy process(AHP), demonstrating their alignment with the characteristics of Tujia brocade. Additionally, the study explores the application prospects of these generated patterns in innovative clothing design. By embedding intangible cultural heritage into digital generation technologies, this research promotes innovation in pattern design and contributes significantly to the dissemination and revitalization of traditional culture.

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基本信息:

DOI:10.19883/j.1009-9034.2024.0368

中图分类号:TP18;TP391.41;TS106

引用信息:

[1]孙雨蓝,迟诚,刘换洁.基于AIGC技术的土家织锦纹样创新设计研究[J].东华大学学报(社会科学版),2024,24(04):93-103.DOI:10.19883/j.1009-9034.2024.0368.

基金信息:

丝绸文化传承与产品设计数字文化和旅游部重点实验室开放基金资助

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