# RFDN

**Repository Path**: wzx0826/RFDN

## Basic Information

- **Project Name**: RFDN
- **Description**: Residual Feature Distillation Network for Lightweight Image Super-Resolution
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-01-29
- **Last Updated**: 2021-01-29

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# RFDN
Code for our paper [Residual Feature Distillation Network for Lightweight Image Super-Resolution](https://arxiv.org/abs/2009.11551)

We won the first place in [AIM 2020 efficient super-resolution challenge](https://data.vision.ee.ethz.ch/cvl/aim20/), the accepted workshop paper and code will be released soon.

The model files are uploaded! You can use the [EDSR framework](https://github.com/thstkdgus35/EDSR-PyTorch) to train our RFDN and use the [AIM test code](https://github.com/znsc/MSRResNet) to reproduce results in the [AIM challenge paper](https://arxiv.org/abs/2009.06943)

**The pretrained models and test codes are uploaded, now you can run test.py to get results in the challenge.**