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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">IEF</journal-id><journal-title-group><journal-title>International Education Forum</journal-title></journal-title-group><issn>3083-4902</issn><eissn>2981-8605</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ief.v4i5.15153</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Influence of Generative AI on the Reconstruction Mechanism and Design Efficiency of Fashion Design Creative Process</title><url>https://artdesignp.com/journal/IEF/4/5/10.26689/ief.v4i5.15153</url><author>TanXiao</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>4</volume><issue>5</issue><history><date date-type="pub"><published-time>2026-06-16</published-time></date></history><abstract>In the background of the information age, the development of all walks of life depends on the blessing of intelligent technology, and the clothing industry is no exception. This paper deeply explores the supporting role of generative AI in the creative ecology of clothing. The traditional fashion design mode is inevitably limited by the lack of materials or a lengthy cycle, and generative AI breaks this limitation, and with its powerful content generation ability, it effectively builds a bridge between creativity and the market. It can fully integrate cross-domain cultural elements and material data and help designers quickly turn abstract inspiration into visual design drawings. In addition, AI shows great value in cost control and supply chain coordination, which helps enterprises significantly reduce R&amp;amp;D losses and quickly respond to flexible demand. The research shows that it is the only way for the garment industry to enhance its core competitiveness by building a man-machine collaborative design system.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Xiong YY, Hou JY, 2023, Challenges and Opportunities Brought by AI Design to Modern Fashion Design Industry. Textile Report, 42(9): 47–49.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Yu P, Zhang Y, 2024, From Feature Recognition to Image Generation: Miao Costume Design Based on AIGC Paradigm. Silk, 61(3): 112–119.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Liu XY, 2024, AIGC Creative Auxiliary Research in Fashion Design. Dyeing and Finishing Technology, 46(3): 63–65.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Wu YY, 2023, Research on the Application of AI in Clothing Pattern Design. Chemical Fiber and Textile Technology, 52(10): 194–196.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Xu L, 2024, Analysis of the Application of AIGC Technology in Fashion Design. Western Leather, 46(16): 96–98.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Cui XX, 2025, Co-creation, Co-existence and Co-governance: The Intelligent Turn of Fashion Design Driven by AIGC. Journal of Xinjiang Arts University, 23(3): 47–56.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Guo YX, Du HR, 2024, Research on the Application of Generative Artificial Intelligence Technology in Garment Pattern Design in the Yellow River Basin. Textile Report, 2024(7): 46–48.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Li WL, Zhang F, 2024, Artificial Intelligence in Design-A Study on the Relationship between Man and Machine from the Perspective of Designers. Art Research, 2024(4): 99–103.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Feng YJ, Jiang GM, Peng JJ, 2022, Artificial Intelligence Leads the Innovation and Development of the Textile and Garment Industry. Modern Textile Technology, 30(6): 71–77.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Zhang ZC, 2023, Trend Analysis of Pet Clothing Design under the Influence of AIGC. Textile Report, 42(11): 49–51.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
