Innovation Pathways in Fashion Design Through AIGC Technology

With the deep penetration of AI technology, profound changes have taken place in all links from fashion design, advertising promotion to production sales in the fashion industry. This study examines the reshaping of the creative process in the fashion industry by the AIGC technology. By systematically analyzing the application of AIGC in design inspiration generation, pattern creation, virtual fitting experience, personalized customization, and sustainable fashion initiatives. The deep learning algorithms and diffusion models of AIGC technology have been applied to the field of UI design, making our design efficiency have made an extremely large increase, the barrier to creativity has significantly lowered, and enabling the users to implement high-quality, efficient iteration of multiple design ideas. Virtual try-on technology is more developed now, and the online shopping experience is more interactive, so the online shopping return rate has gone down. However, the application of AIGC in fashion Design faces multiple challenges in terms of creative originality, data quality requirements, and a human-AI cooperation framework. Based on typical case studies from home and abroad, this paper presents strategic recommendations for the in-depth integration of AIGC technology and fashion design, providing both theoretical reference and practical guidance for the digitalization of the fashion industry.