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Gabriel Gouvine authored and Gabriel Gouvine committed May 30, 2021
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Expand Up @@ -203,15 +203,20 @@ python main.py --arch edsr_baseline --scale 2 --epochs 300 --loss l1 --dataset-t



# Contributions

All contributions are welcome! Usability improvements, training improvements, new models, new transforms, ...
Pretrained models are particularly welcome.



# Acknowledgements

Thanks to the people behind [torchvision](https://github.com/pytorch/vision) and [EDSR](https://github.com/zhouhuanxiang/EDSR-PyTorch), whose work inspired this repository.
Some of the models available here come from [EDSR-PyTorch](https://github.com/zhouhuanxiang/EDSR-PyTorch) and [CARN-PyTorch](https://github.com/nmhkahn/CARN-pytorch).

Some of the model codes used here come from [EDSR-PyTorch](https://github.com/zhouhuanxiang/EDSR-PyTorch) and [CARN-PyTorch](https://github.com/nmhkahn/CARN-pytorch).
To cite this work, please use:

```
@misc{torchsr,
author = {Gabriel Gouvine},
title = {Super-Resolution Networks for Pytorch},
year = {2021},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/Coloquinte/torchSR}}
}
```

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