Kernel Modeling Super-Resolution on Real Low-Resolution Images
Project Page | Paper | Supplementary Material | Psychovisual Experiment
by Ruofan Zhou, Sabine Süsstrunk
Dependencies
- Pytorch >= 0.4.0
- OpenCV
- NVIDIA GPU
- HDF5 (only for training)
- MATLAB （only for training)
Quick start (Demo)
In test_code folder, run the following command:
python demo.py
Training the network yourself
Step 1: prepare the dataset
Download DEPD dataset, prepare the patches and run training_code/kernel_estimation/getkernels.m in MATLAB.
Step 2: train a GAN on kernels
run training_code/kernel_generator/train.py.
Step 3: generate
run training_code/kernel_generator/generate.py.
Step 4: train the super-resolution network
run training_code/super-resolution/main.py.