The Research and Design of an AIGC Empowered Fashion Design Product

This paper explores the transformative potential of Artificial Intelligence Generated Content (AIGC) in the fashion industry, addressing the challenges and opportunities in fashion design. The study examines the current fashion design landscape, which is marked by a focus on trends, cultural diversity, and an increasing demand for personalized products. It identifies the inefficiencies of traditional design processes and proposes AIGC as a solution to enhance creativity, efficiency, and market adaptability. The research details the application of AIGC across key phases of fashion design, including inspiration, design, manufacturing, and marketing. It showcases how AI can facilitate trend analysis, rapid design iteration, virtual try-ons, and sales prediction, thereby streamlining the design process and reducing costs. A comparative experiment is conducted to assess the impact of AI-assisted design on the productivity and output quality of fashion designers. Despite the positive outcomes, the study acknowledges the need for advanced AI model training to improve the accuracy of clothing pattern generation, approaches to bridge design to manufacturing, and the importance of objective evaluation methods. In essence, this paper provides a comprehensive overview of AIGC's role in fashion design, highlighting its current capabilities, limitations, and the path forward for leveraging AI to revolutionize the industry.