生成式AI驱动的岭南传统家具纹样跨媒介转译机制研究

柳雨吟

doi:10.19554/j.cnki.1001-3563.2026.02.030

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包装工程（设计栏目） ›› 2026, Vol. 47 ›› Issue (2) : 325-333. DOI: 10.19554/j.cnki.1001-3563.2026.02.030

设计研讨

生成式AI驱动的岭南传统家具纹样跨媒介转译机制研究

柳雨吟

作者信息 +

Cross-media Translation Mechanism of Traditional Lingnan Furniture Patterns Driven by Generative AI

LIU Yuyin

Author information +

文章历史 +

摘要

目的当下,生成式人工智能技术的发展如火如荼,在艺术创意领域,生成式人工智能或可为岭南传统家具纹样的现代化转译提供创新路径。研究针对传统纹样面临的代际认知断裂与媒介固化困境,尝试构建纹样基因库、算法引擎、输出媒介多环节多路径框架,系统解构岭南家具纹样的显性视觉符号与隐性文化隐喻。方法应用案例分析法,以陈家祠光影艺术项目、广作家具纹样丝巾设计等实践为样本,揭示生成式AI在文化要素跨模态转换与语境智能重构中的双重赋能机制。结果研究结合前期实测分析评估定性,AI技术通过风格迁移与语义联想,能够突破传统纹样的物理载体局限,从而最终实现从二维平面到三维空间、从静态图案到动态交互的媒介跨越。系统性构建一套从艺术语言到数据语言的转译路线刻不容缓,结合生成式人工智能的语言特征,设置要素解码-语境重构-价值再生的转译模型,十分必要。实践层面提出数字化非遗展示、文创衍生设计、智能定制生产等产业化路径,为传统工艺的现代化转型提供方法论支持。结论研究表明,生成式AI不仅延续了地域文化基因的核心语义,更通过人机协同机制激活了传统纹样的创新潜能,为非物质文化遗产的活态传承开辟了新维度。

Abstract

Currently, generative artificial intelligence technology is booming. In the field of artistic creativity, generative artificial intelligence may provide an innovative path for the modern translation of traditional Lingnan furniture patterns. To address the dilemmas of generational cognitive disconnection and media solidification faced by traditional patterns, the work aims to construct a multi-link and multi-path framework including pattern gene bank, algorithm engine, and output media, systematically deconstructing the explicit visual symbols and implicit cultural metaphors of Lingnan furniture patterns. By applying the case analysis method and taking the practical cases such as the light and shadow art project of Chen Clan Ancestral Hall and the silk scarf design of Guangzhou-style furniture patterns as samples, the dual enabling mechanism of generative AI in the cross-modal transformation of cultural elements and the intelligent reconstruction of context was revealed. Combined with the qualitative evaluation through previous practical measurement and analysis, AI technology, through style transfer and semantic association, could break through the limitations of the physical carriers of traditional patterns, ultimately achieving the media leap from a two-dimensional plane to a three-dimensional space and from static patterns to dynamic interactions. It was urgent to systematically construct a translation route from artistic language to data language and also necessary to set up a translation model of element decoding, context reconstruction, and value regeneration in combination with the language features of generative artificial intelligence. At the practical level, industrialization paths such as digital display of intangible cultural heritage, derivative cultural and creative design, and intelligent customized production were proposed, providing methodological support for the modern transformation of traditional craftsmanship. The research shows that generative AI not only continues the core semantics of regional cultural genes but also activates the innovative potential of traditional patterns through the human-computer collaboration mechanism, opening up a new dimension for the living inheritance of intangible cultural heritage.

导出引用1

柳雨吟. 生成式AI驱动的岭南传统家具纹样跨媒介转译机制研究[J]. 包装工程. 2026, 47(2): 325-333 https://doi.org/10.19554/j.cnki.1001-3563.2026.02.030

LIU Yuyin. Cross-media Translation Mechanism of Traditional Lingnan Furniture Patterns Driven by Generative AI[J]. Packaging Engineering. 2026, 47(2): 325-333 https://doi.org/10.19554/j.cnki.1001-3563.2026.02.030

中图分类号： TB472

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