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README.md

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@@ -203,15 +203,20 @@ python main.py --arch edsr_baseline --scale 2 --epochs 300 --loss l1 --dataset-t
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# Contributions
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All contributions are welcome! Usability improvements, training improvements, new models, new transforms, ...
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Pretrained models are particularly welcome.
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# Acknowledgements
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Thanks to the people behind [torchvision](https://github.com/pytorch/vision) and [EDSR](https://github.com/zhouhuanxiang/EDSR-PyTorch), whose work inspired this repository.
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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).
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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).
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To cite this work, please use:
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```
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@misc{torchsr,
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author = {Gabriel Gouvine},
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title = {Super-Resolution Networks for Pytorch},
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year = {2021},
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publisher = {GitHub},
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journal = {GitHub repository},
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howpublished = {\url{https://github.com/Coloquinte/torchSR}}
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}
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```

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