This repo contains the implementations of some common models used for SISR.
For simple inference tasks, download the pretrained models from here. Place them in the pretrained/ directory.
Next, configure the yaml config file in configs/ directory for the respective model you wish to run and then run inference as:
python main.py --config-file <config file>
For example:
python main.py --config-file RCAN.yaml
A complete summary report of these models can be found here: report_link
- Enhanced Deep Super Resolution Network (EDSR) : link
- Residual Channel Attention Network (RCAN) : link
Note: The code for GAN based models is not currently released. It will be released later.