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人工智能辅助下的民间美术图案识别与创新设计研究
Research on Pattern Recognition and Innovative Design of Folk Art Assisted by Artificial Intelligence

DOI: 10.12677/isl.2026.101036, PP. 282-290

Keywords: 人工智能,民间美术,图案识别,深度学习
Artificial Intelligence
, Folk Art, Pattern Recognition, Deep Learning

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Abstract:

人工智能技术的快速发展为民间美术的数字化保护带来了前所未有的机遇与路径,本研究旨在构建“数据驱动、知识引导、人机协同”的人工智能辅助创新设计框架,为人工智能深度学习民间美术视觉特征和深层文化寓意提供理论支持。
The rapid development of artificial intelligence technology has brought unprecedented opportunities and pathways for the digital preservation of folk art. This study aims to construct an AI-assisted innovative design framework that is “data-driven, knowledge-guided, and human-machine collaborative”, providing theoretical support for artificial intelligence to deeply learn the visual features and profound cultural meanings of folk art.

References

[1]  蒋雅丽. 人工智能赋能淮河流域民间美术传承与创新研究[N]. 鹰潭日报, 2025-11-20(004).
[2]  唐瑭. 生成式人工智能在民间美术中的创新运用[N]. 新华日报, 2025-09-19(016).
[3]  何银崧. 民间美术元素在当代设计语境中的传承与再造研究[J]. 美术文献, 2025, 227(9): 121-123.
[4]  明贵栋. 蔚县剪纸: 世界非遗的民间艺术瑰宝[J]. 商业文化, 2024(21): 96-99.

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