VITON-GAN: Virtual Try-on Image Generator Trained with Adversarial Loss
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Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
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.
Description
@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}
}