University of Illinois IE498 Final Project (Brandon Qiao, Henry Woo)
CycleGAN implementation using PyTorch
Image-to-Image Style Transfer without image pairs
You can download a dataset with download_dataset.sh (from the official CycleGAN repository)
bash ./download_dataset.sh [name of dataset]
python ./main.py --train --dataset [name of dataset]
You can generate a few test examples using the below command.
python ./main.py --test --dataset [name of dataset] --test_samples [number of test samples]
We achieved good results on the summer2winter, apple2orange, and monet2photo datasets.
The third image in each row represents attempted reconstruction of the second image back to the first image's domain.
