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

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Date
2019
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.
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@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
} }
Citation