/kaws-ntire2020-public

Team <kaws> solution for the NTIRE2020 extreme super-resolution challenge

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

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
  1. 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 concept

Contact

egyptdj@kaist.ac.kr