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 learningbased
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
Author - Paul Augustine, Emilin Antony, Lekshmi M P, Jessica Augustine, Lynette Mary Paulson
Published : Volume-10,Issue-6 ( Jun, 2023 )
|
 |
| |
 |
PDF |
| |
Viewed - 31 |
| |
Published on 2023-10-18 |
|
|
|
|
|
|