Awesome

CinCGAN-pytorch

This repository is a PyTorch version of the paper "Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks" from CVPRW 2018.

For super-resolution setting I refer to EDSR (PyTorch) (you can download pretrained EDSR from here)

This version is not good looking yet. It will be updated later..

Train

Dataset

Download DIV2K dataset (NTIRE2018) from here. 800 training (~~800) & 100 validation images (801~~900)
Pretrained EDSR network.

Download pretrained EDSR from here
Execution

After move to 'code' folder, type the following command.
```
python main.py --dir_data 'data_path'
```
data_path directory should contains 'DIV2K' dataset folder.

Test

Execution

After move to 'code' folder, type the following command.
```
python main.py --n_val 100 
```