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EDSR: Enhanced Deep Residual Networks for Single Image Super-Resolution

Introduction

@inproceedings{lim2017enhanced,
  title={Enhanced deep residual networks for single image super-resolution},
  author={Lim, Bee and Son, Sanghyun and Kim, Heewon and Nah, Seungjun and Mu Lee, Kyoung},
  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition workshops},
  pages={136--144},
  year={2017}
}

Results and Models

Evaluated on RGB channels, scale pixels in each border are cropped before evaluation.

The metrics are PSNR / SSIM.

Method Set5 Set14 DIV2K Download
edsr_x2c64b16_1x16_300k_div2k 35.7592 / 0.9372 31.4290 / 0.8874 34.5896 / 0.9352 model | log
edsr_x3c64b16_1x16_300k_div2k 32.3301 / 0.8912 28.4125 / 0.8022 30.9154 / 0.8711 model | log
edsr_x4c64b16_1x16_300k_div2k 30.2223 / 0.8500 26.7870 / 0.7366 28.9675 / 0.8172 model | log