AIGC在服装可视化领域的应用现状与发展前景

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中图分类号:TS941.26 文献标志码:A DOI:10.13338/j. issn.1674-649x.2025.03.009
Current status and development trend of AIGC application in clothing visualization field
KONG Fandong 1 ,GE Wenxuan 2 ,LI Kaixia³ (1.International Institute of Fashion Technology,Zhejiang Sci-Tech University,Hangzhou 310o18,China; 2.School of Fashion Design & Engineering,Zhejiang Sci-Tech University,Hangzhou 310o18,China; 3.ECT Testing Technology(Zhejiang) Co,Ltd.,Hangzhou 31oo18,China)
AbstractTo clarify the key application pathways of artificial intelligence generated content (AIGC) in clothing visualization and analyse its technical advantages and practical limitations, the literature review research method was adopted in this study. AIGC's capabilities in clothing image recognition and analysis,as well as its technical support for the clothing industry in scenarios such as design assistance, personalized recommendations, and market analysis were elaborated upon.Three ways in which AIGC generates clothing images and the different roles played by diferent generation methods in the clothing industry were summarized. The opportunities and challenges of AIGC in the application of the clothing industry were pointed out,and the approaches that clothing industry practitioners should maintain in the face of AIGC were proposed. The results show that in-depth research on AIGC in areas such as clothing image recognition, fashion trend analysis,personalized recommendations, and clothing image generation has become a key driving force for the digital transformation of the clothing industry and the improvement of design process efficiency. While the gradual maturation of AIGC has brought revolutionary breakthroughs in the clothing industry,such as replacing some manual labour,reducing costs,and reforming design processes, it still faces challenges in areas such as design style,design education, intelligence levels,the importance placed on AIGC,and public perception.
Keywordsartificial intelligence generated content(AIGC); clothing image analysis;clothing visualization generation
0引言
人工智能的迅速发展加速了社会的数字化转型,生成式人工智能(artificial intelligencegenera-ted content,AIGC)[]的出现,标志着人工智能(ar-tificialintelligence,AI进人2.O时代。(剩余18100字)