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Style Up: A Virtual Try-On System

Deepa Sunny, Faheem Abdulla K R, Irfana Parveen C A, Farseena Nazrin, Mahin M M

Abstract


STYLE UP, an innovative framework for virtual clothing try-on, revolutionizes fashion exploration by seamlessly integrating advanced technologies such as Generative Adversarial Networks (GANs) and semantic segmentation. In addition to its core functionalities, STYLE UP introduces novel modules aimed at enriching the user experience. The Virtual Wardrobe empowers users to effortlessly organize and explore their per- sonal clothing collections within the virtual environment. The Outfit Generation module utilizes advanced algorithms to curate personalized outfits tailored to specific occasions, formality levels, and seasonal trends. Furthermore, the History Management mod- ule archives past try-on sessions, facilitating informed decision- making and style evolution. In addition, the Daily Outfit module dynamically retrieves and showcases outfits from the History module on a daily basis, providing tailored styling suggestions based on past preferences. Moreover, users have the option to upload their own models, enabling outfits to be rendered on specific model, while a default model is available otherwise. Through these integrated features, STYLE UP offers users a comprehensive platform to explore, refine, and elevate their personal style in the digital realm, redefining the virtual try-on experience.


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References


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