VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss

Honda, Shion

VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss

Files

009-010.pdf (4.34 MB)

viton-gan_poster.pdf (6.3 MB)

Date

2019

Authors

Honda, Shion

Publisher

The Eurographics Association

Abstract

Generating a virtual try-on image from in-shop clothing images and a model person's snapshot is a challenging task because the human body and clothes have high flexibility in their shapes. In this paper, we develop a Virtual Try-on Generative Adversarial Network (VITON-GAN), that generates virtual try-on images using images of in-shop clothing and a model person. This method enhances the quality of the generated image when occlusion is present in a model person's image (e.g., arms crossed in front of the clothes) by adding an adversarial mechanism in the training pipeline.

        @inproceedings{10.2312:egp.20191043
,
booktitle = {Eurographics 2019 - Posters
},
editor = {Fusiello, Andrea and Bimber, Oliver
},
title = {{VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss
}},
author = {Honda, Shion
},
year = {2019
},
publisher = {The Eurographics Association
},
ISSN = {1017-4656
},
ISBN = {},
DOI = {10.2312/egp.20191043
}
}