PyTorch

Enhanced Deep Residual Networks for Single Image Super-Resolution

EDSR-PyTorch

PyTorch version of the paper ‘Enhanced Deep Residual Networks for Single Image Super-Resolution’ (CVPRW 2017)

About PyTorch 1.1.0

  • There have been minor changes with the 1.1.0 update. Now we support PyTorch 1.1.0 by default, and please use the legacy branch if you prefer older version.

PyTorch-version

This repository is an official PyTorch implementation of the paper “Enhanced Deep Residual Networks for Single Image Super-Resolution” from CVPRW 2017, 2nd NTIRE.
You can find the original code and more information from here.

If you find our work useful in your research or publication, please cite our work:

[1] Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, and Kyoung Mu Lee, “Enhanced Deep Residual Networks for Single Image Super-Resolution,” 2nd NTIRE: New Trends in Image Restoration and Enhancement workshop

 

 

 

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