Image virtual try-on aims to fit a garment image (target clothes / item) to a person image (model image). Prior methods are heavily based on human parsing. However, slightly-wrong segmentation results would lead to unrealistic try-on images with large artifacts. This work does not use human parsing.
anaconda3
pytorch 1.1.0
torchvision 0.3.0
cuda 9.0
cupy 6.0.0
opencv-python 4.5.1
8 GTX1080 GPU for training; 1 GTX1080 GPU for test
python 3.6
conda create -n tryon python=3.6
source activate tryon or conda activate tryon
conda install pytorch=1.1.0 torchvision=0.3.0 cudatoolkit=9.0 -c pytorch
conda install cupy or pip install cupy==6.0.0
pip install opencv-python