This repository contains a pytorch implementation (training and testing) of
Layered-Garment Net: Generating Multiple Implicit Garment Layers from a Single Image
Alakh Aggarwal, Jikai Wang, Steven Hogue, Saifeng Ni, Madhukar Budagavi, Xiaohu Guo
ACCV 2022
This demo runs for sample dataset given in sample/data/
folder. Refer the folder and source code to run on custom data.
- Download trained model from checkpoints and save in home folder of the project by name
checkpoints
. - run the following script:
python -m apps.update
The output will be saved in sample/data/
folder. The resulting mesh are watertight and can be visualized using meshlab.
3. To trim the generated mesh, run the following script:
python -m apps.trim
@inproceedings{aggarwal2022layered,
title={Layered-Garment Net: Generating Multiple Implicit Garment Layers from a Single Image},
author={Aggarwal, Alakh and Wang, Jikai and Hogue, Steven and Ni, Saifeng and Budagavi, Madhukar and Guo, Xiaohu},
booktitle={Proceedings of the Asian Conference on Computer Vision (ACCV)},
year={2022}
}