TITLE:
Clothing Design in the Era of Artificial Intelligence
AUTHORS:
Victor Kuzmichev
KEYWORDS:
Artificial Intelligence (AI), Computer-Aided Design (CAD), Generative Design, Digital Twins, Parametric Modeling, Virtual Reality (VR), 2.5D-3D Conversion, Textile Material Simulation
JOURNAL NAME:
Journal of Computer and Communications,
Vol.13 No.5,
May
30,
2025
ABSTRACT: The integration of artificial intelligence (AI) into the fashion industry is driving transformative advancements in design, production, and sustainability. This article explores the synergistic potential of AI and computer-aided design (CAD) systems, focusing on generative design, personalized clothing models, virtual try-on technologies, and sustainable production optimization. Key applications include AI-driven parametric image generation, digital twins of human figures and textiles, and enhanced material simulation. The study highlights the role of datasets like “DeepFashion” in training AI models and addresses challenges such as data scarcity, software compatibility, and intellectual property risks. By restoring a unified 2D-2.5D-3D digital chain, AI enables seamless integration of design and production stages, fostering digital unity in fashion workflows. Experimental results demonstrate high accuracy in AI-generated figures (up to 95% with Stable Diffusion) and significant accuracy in textile material draping through new approach. Despite obstacles, the future of fashion lies in hybrid systems where human creativity is augmented by AI’s analytical and generative capabilities, promising improved product quality, reduced costs, and greater consumer satisfaction.