International Journal of Advanced Research in Computer and Communication Engineering

Abstract: Digital transformation has profoundly reshaped the fashion industry by blending computational methods with traditional design practice. In particular, Artificial Intelligence (AI) and related technologies (computer vision, deep learning, AR/VR, 3D modeling and generative methods) have enabled virtual try-on systems that promise improvements in personalization, reduced returns, and more sustainable production workflows. This review synthesizes existing literature on virtual try-on systems and their enabling technologies, presents a systematic methodology used to collect and analyze literature, extracts six core themes emerging from research (Design, Consumers, Body, Virtual, Printing, Supply), discusses the primary findings and technological trends, identifies technical and ethical challenges, and outlines key directions for future research. The paper keeps the focus on core developments and critical evaluations drawn from peer-reviewed studies, positioning virtual try-on as a central applied research area at the intersection of AI, graphics, and fashion retail.

Keywords: Artificial Intelligence, Virtual Try-On, Digital Fashion, Augmented Reality, Machine Learning, Fashion Retail, 3D Modeling, Sustainability.

Downloads: | DOI: 10.17148/IJARCCE.2025.141168