Team kaws solution for the NTIRE2020 extreme super-resolution challenge

How-to

Reproduce the final results:

1. Download the pre-trained model and extract it in the git path
2. Run the following code with path_to_images indicating LR images to resolve

python main.py --skip_train --test_image path_to_images

3. Resolved images can be found at result/kaws-ntire2020/summary/test

Train from scratch:

1. Download the training related data and extract it in the git path
2. Run the following code.

python main.py

Command-line options can be listed by running the main script with -h flag.

python main.py -h

Requirements

• python 3.6
• tensorflow >= 1.14
• tqdm
• python-telegram-bot (optional)

Concept

Wavelet Pyramid Generation based High-frequency Recovery for Perceptual Extreme Super-Resolution

Contact

egyptdj@kaist.ac.kr