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人工智能生成式内容(Artificial Intelligence Generated Content, AIGC)作为一种新兴的生成式技术，在各领域具有广泛的应用潜力和价值。该文旨在梳理AIGC在不同专业领域的定义，并结合其在服装设计中的应用内容，对AIGC进行更为精确和具体的定义与总结。归纳AIGC的常见分类与应用场景，通过梳理AIGC在服装设计协同创新的发展历程，探讨了其关键技术与局限性，即分别在设计效率与质量提升、个性化与定制化设计、传统与现代工作流程方面存在技术挑战。通过对AIGC在服装设计领域工作流程的详细分析，揭示AIGC技术如何与设计师的创意思维和工作流程相结合，更深入地理解其在服装领域的应用特点，从而提高设计效率、激发创新潜能，并最终实现协同创新，研究结论可为后续学术研究和实践应用提供有益的参考。
Abstract：As an emerging generative technology, Artificial Intelligence Generated Content(AIGC)has a wide range of potential and value for application in various fields. The purpose of this paper is to sort out the definition of AIGC in different professional fields, and to define and summarise AIGC in a more precise and specific way by combing its application content in apparel design. It summarises the common classifications and application scenarios of AIGC-generated content. By sorting out the development history of AIGC in apparel design co-innovation, it explores its key technologies and limitations, i.e., the technological challenges in design efficiency and quality enhancement, personalised and customised design, and traditional and modern workflows, respectively. Through a detailed analysis of the workflow of AIGC in the field of apparel design, it reveals how AIGC technology can be combined with the creative thinking and workflow of designers, and provides a deeper understanding of the characteristics of its application in the field of apparel, so as to improve the design efficiency, stimulate the potential for innovation, and ultimately achieve collaborative innovation. It provides useful references for subsequent academic research and practical application.
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基本信息:
DOI：10.19883/j.1009-9034.2024.0334
中图分类号:TS941.2;TP18
引用信息:
[1]贾玺增,张馨翌,于小利.人工智能生成式内容(AIGC)服装设计的定义、特点与协同创新[J].东华大学学报(社会科学版),2024,24(04):66-81.DOI:10.19883/j.1009-9034.2024.0334.
基金信息:
江阴-清华创新引领行动专项资助项目“生成式人工智能(AIGC)在服装品牌产品研发中的创新设计方法与理论构建研究”(项目编号：2024JYTH11)