Hybrid-Domain Attention Dense Network For Efficient Image Super-Resolution

PyTorch >= 1.9
BasicSR >= 1.3.4.9

pip install -r requirements.txt

The test datasets are available at Google Drive or Baidu Netdisk

· Refer to ./options/test for the configuration file of the model to be tested, and prepare the testing data or and pretrained model.
· We provide all pre-trained models, located in the folder ./pretrain_models. · Then run the follwing codes:

python basicsr/test.py -opt options/test/benchmark_HADN_x4.yml
python basicsr/test.py -opt options/test/benchmark_HADN_x3.yml
python basicsr/test.py -opt options/test/benchmark_HADN_x2.yml
python basicsr/test.py -opt options/test/benchmark_HADN-S_x4.yml

The testing results will be saved in the ./results folder.