Research on the Application of Generative Artificial Intelligence in Sustainable Fashion Design Models from the Perspective of Design Studies

Abstract

With the remarkable advancements in deep learning and large language model technologies, generative artificial intelligence (Generative AI) has, in recent years, been increasingly applied in the fashion creative design industry. It has become a key driver for the intelligent transformation of fashion design processes and the innovation of design paradigms. At the same time, the global fashion industry is facing the dual challenges of severe overproduction and a fundamental shift in consumer awareness. This study, grounded in the perspective of design studies, adopts literature analysis and case study methodologies to systematically review the current development, application, and technological evolution of generative AI in fashion design. It further explores the necessity of AI-driven sustainable fashion design development and logical inquiry within the design discipline. Drawing upon the "Five-Dimensional Integration" (H-T-O-S-M) theoretical model, the research provides an in-depth analysis of the innovative pathways through which AI empowers sustainable fashion design, focusing on five dimensions: Human (H), Task (T), Objects (O), Space (S), and Mirror (M).The findings indicate that generative AI exhibits significant potential in promoting the green transformation of the fashion industry, particularly in areas such as pattern generation aligned with sustainable design principles, automatic optimization of garment structures to achieve zero-waste objectives, and material process simulation with emotional engagement. This study offers valuable theoretical references and insights for the application of artificial intelligence in sustainable fashion design from a design studies perspective and contributes to the further exploration and practical advancement of new paradigms in sustainable fashion design.