This repository contains the Keras implementation of LGVTON (accepted for publication in Multimedia Tools and Applications journal)
This is an inference code. The checkpoints and a sample dataset with some annotated sample fashion landmarks on the MPV dataset is upload at,
https://drive.google.com/drive/folders/1v8ORGRVbTVsE9Mcw6JVxpintEfKLH3HR?usp=sharing
Test code: bash run.sh
The code is tested in the following versions: keras = '2.2.4' tensorflow = '1.14.0' python = '3.5'
In case you use this code please consider citing
@article{roy2020lgvton,
title={Lgvton: A landmark guided approach to virtual try-on},
author={Roy, Debapriya and Santra, Sanchayan and Chanda, Bhabatosh},
journal={arXiv preprint arXiv:2004.00562},
year={2020}
}