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PISE

Requirement

conda create -n pise python=3.6
conda install pytorch=1.2 cudatoolkit=10.0 torchvision
pip install scikit-image pillow pandas tqdm dominate natsort 

Data

Data preparation for images and keypoints can follow Pose Transfer

Parsing data can be found from baidu (fectch code: abcd).

Train

python train.py --name=fashion --model=painet --gpu_ids=0

Test

You can directly download our test results from baidu (fetch code: abcd).
Pre-trained checkpoint reported in our paper can be found from baidu (fetch code: abcd) and put it in the folder (-->results-->fashion).

Test by yourself

python test.py --name=fashion --model=painet --gpu_ids=0 

Citation

If you use this code, please cite our paper.

Acknowledgments

Our code is based on GFLA.

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