摘要
数字创意产业正经历智能化转型的关键阶段,人工智能生成内容(AIGC)技术通过解构色彩语义逻辑与设计规则, 为传统色彩方案生成提供了强大动能。其通过学习海量视觉数据的色彩关联模式,不仅显著提升了多场景配色的科学性与效 率,更催生了跨领域的创新设计范式。因此,本文就AIGC 在色彩生成机制革新与设计价值链重构中的关键作用展开探讨, 通过解析技术创新与产业应用的双向驱动逻辑,以期为智能化设计系统的理论发展与实践升级提供方法论参照。
Abstract
The digital creative industry is experiencing a critical stage of intelligent transformation, and Artificial Intelligence Generated Content (AIGC) technology provides breakthrough empowerment for traditional color scheme generation by deconstructing color semantic logic and design rules. By learning the color association patterns of massive visual data, it not only significantly improves the science and efficiency of multi-scene color matching, but also gives rise to cross-disciplinary innovative design paradigms. Therefore, this paper discusses the key role of AIGC in the innovation of color generation mechanism and the reconstruction of design value chain, and analyzes the two-way driving logic of technological innovation and industrial application, in order to provide a methodological reference for the theoretical development and practical upgrading of intelligent design system.
关键词
AIGC /
色彩方案生成 /
设计创新 /
人工智能设计
Key words
AIGC /
Color Scheme Generation /
Design Innovation /
Artificial Intelligence Design
王芳 LEE JONGHO.
AIGC 在色彩方案生成与设计创新中的应用[J]. 色彩. 2025, 43(12): 52-54
Wang Fang, LEE JONGHO.
Application of AIGC in Color Scheme Generation and Design Innovation[J]. Color. 2025, 43(12): 52-54
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参考文献
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