Advancement in Virtual Fitting Rooms: Integrating AI for Enhanced Online Shopping Experiences

This innovative research reveals a ground-breaking technique for creating an immersive virtual changing room experience using only the user’s supplied 2D images—no 3D components are required at all. This project offers a creative way to create a virtual dressing room experience at home using a particular technological stack designed for 2D view processing and the VITON dataset. Using deep learning techniques such as OpenPose, U2Net, and ResNet101, the system analyzes the user’s photos, identifying fine body details and carefully extracting them from the surrounding landscape. The user’s distinct body form is then rebuilt and the virtual drape of clothing is synchronized using these identified body landmarks as anchor points. The technology, which is controlled by a geometric module, creates a beautiful effect by enveloping clothes around the virtual outline of the user. This ensures that the clothing is accurately represented as it would naturally fit their body. The visual ambience of the virtual world is further enhanced by an inventive alias generator that adds contextual background information. With its innovative method, virtual fashion exploration enters a new era. Users will be able to try on a wide variety of outfits with unmatched accuracy and intuitive ease, all without the hassles and complexity of 3D modeling. The result will be a seamless and incredibly engaging virtual dressing experience. The user only has to take two pictures using a camera or smartphone as part of this easy, quick, and effective procedure.