Paper Title
VIRTUAL CLOTH TRY-ON SYSTEM

Abstract
The development of the internet and technology has made it possible to utilise and acquire a variety of goods and services online rather than in person. In particular, as the scale of online shopping is rapidly increasing, new functions have been tried and introduced to compensate for the limitation of not being able to check whether clothes fit or not. Deep learning-based image-based virtual try-on systems have garnered both academic and industrial interest. Such systems are still very difficult to utilise in real-world applications because to occlusion and severe spatial deformation, despite recent significant progress. The suggested Virtual Cloth Try on System enables users to submit their own images and select a target image of the cloth they wish to try on. The image initially goes through segmentation stage which divides the reference image to different classes by coloring different region of body in different identifiable colors, then the cloth warping makes the target cloth according to size and appearance of reference image, which further goes to the try on synthesis module to show the final output, as the target on the uploaded image of the person. Keywords - Cloth Try-on, Warping, Segmentation