Click to Wear: Smart Fabric Drape & Style Studio

Abstract

Online fashion shopping is growing rapidly, but customers often struggle to imagine how a piece of clothing will actually look on them before buying it. Virtual try-on systems help solve this problem by allowing garments to be digitally placed onto a person’s image. However, many existing image-based methods face challenges such as poor garment alignment, difficulty handling different body poses, and loss of important clothing details. In this paper, we introduce a simple yet effective image-based virtual try-on system that creates realistic and visually appealing results without using complex 3D body models or expensive physical simulations. The system first builds a clothing-agnostic view of the person using human parsing and pose estimation, which helps align the selected garment accurately with the body’s shape and posture. It then generates the final try-on image by smoothly blending the adjusted garment with the original image while preserving fabric texture and reducing visual artifacts. This approach is efficient and suitable for real-time use in online shopping platforms, and experimental results show that it works well across different clothing styles and poses, making it a practical solution for improving user confidence and the overall digital fashion shopping experience.