GANs and Augmented Reality in Virtual Clothing Try-On

The aim of this study is to explore the transformative impact of Generative Adversarial Networks or GANs infused with Augmented Reality (AR) in the fashion industry. The classic method of trying on different clothes in the trial room have encountered a new revolutionary shift, overcoming challenges for retailers and consumers. GANs, along with AR are coupled together to generate sophisticated new clothes designs and try them on in real-time. The paper features the material and methodology used, highlighting the role of GANs and Conditional GANs (CGANs) in virtual clothing design. It analyses the augmentation reality in the application to enhance the user experiences in fashion retail by connecting the physical and virtual realms. The convergence of technology and fashion is tested through the lens of these generative models, contributing personalized and mesmerizing virtual try-on experiences. Our research gives out a step-by-step process on how we can create a virtual try on system, incorporating Machine Learning and Computer Vision technologies. It tells us about the integration of E-Commerce platforms and optimization of real-time applications. This digital evolution not only addresses existing hurdles but propels the fashion industry into a seamless, engaging, and personalized future.