The official implementation for the paper. You can access the article here: Springer Link: 10.1007/s13042-025-02796-6

• Python 3.8
• PyTorch 1.8.0
• NVIDIA GPU + CUDA

# Clone the github repo and go to the default directory 'SwinGSR'.
git clone https://github.com/chentaoqian/SwinGSR.git
conda create -n SwinGSR python=3.8
conda activate SwinGSR
pip install -r requirements.txt
python setup.py develop

• Run the following scripts. The training configuration is in options/train/.

  python basicsr/train.py -opt options/Train/SwinGSR/train_SwinGSR_x2.yml
  python basicsr/train.py --opt options/train/SwinGSR/train_SwinGSR_x4.yml
  

• The training experiment is in experiments/.

• Run the following scripts. The testing configuration is in options/test/.

  python basicsr/train.py -opt options/Test/my_test_SwinGSR_x2.yml
  python basicsr/train.py -opt options/Test/my_test_SwinGSR_x4.yml

• The output is in results/.

This code is built on SwinIR.