Code for our paper Residual Feature Distillation Network for Lightweight Image Super-Resolution
We won the first place in AIM 2020 efficient super-resolution challenge, the accepted workshop paper and code will be released soon.
The model files are uploaded! You can use the EDSR framework to train our RFDN and use the AIM test code to reproduce results in the AIM challenge paper
The pretrained models and test codes are uploaded, now you can run test.py to get results in the challenge.