3D Virtual Outfit Try-On

Abstract

The rapid growth of e-commerce has revolutionized the fashion industry, yet it continues to face challenges related to customer satisfaction and product fit. The inability to try on clothes virtually before purchase often leads to high return rates and customer dissatisfaction. This project aims to address these challenges by developing a 3D Virtual Outfit Try-On system that enables users to visualize how selected garments will appear on their bodies in a three dimensional space. By utilizing advanced technologies in computer vision, 3D modeling, and machine learning, the system allows users to select garment , which is processed to create a customizable 3D avatar . Users can then select garments from a digital catalog, which are realistically rendered and mapped onto the avatar to simulate a natural fit and appearance. The proposed system focuses on enhancing the user experience by incorporating realistic layering, texture mapping, and dynamic fitting adjustments. Key features include accurate body measurement extraction from user selected images, integration of a user-friendly interface that supports interactive visualization. This project handles critical gaps in existing 2D try-on solutions by providing a more immersive and realistic experience, thereby improving customer confidence in online shopping. It holds significant potential to reduce return rates, enhance customer satisfaction, and set a new standard for virtual try-on systems in the fashion industry. By bridging the gap between technology and fashion, this system paves the way for a more sustainable and efficient online shopping ecosystem