# DCTLSA 

### Densely Connected Transformer with Linear Self-Attention for Lightweight Image Super-Resolution
This is an official implementation of [Densely Connected Transformer with Linear Self-Attention for Lightweight Image Super-Resolution](https://ieeexplore.ieee.org/document/10215496)

If this repo works for you, please cite our paper:
```
@ARTICLE{zeng2023densely,
  author={Zeng, Kun and Lin, Hanjiang and Yan, Zhiqiang and Fang, Jinsheng},
  journal={IEEE Transactions on Instrumentation and Measurement}, 
  title={Densely Connected Transformer With Linear Self-Attention for Lightweight Image Super-Resolution}, 
  year={2023},
  volume={72},
  pages={1-12},
  doi={10.1109/TIM.2023.3304672}
}
```

## How To Test
```
sh demo.sh
```
The testing results will be saved in the `./experiments` folder.

## License
This project is released under the Apache 2.0 license.


## Acknowledgements
This code is built on [EDSR-PyTorch](https://github.com/sanghyun-son/EDSR-PyTorch). We thank the authors for sharing their codes.