# Result for training EDSR network to perform single-image super resolution.

The EDSR model is trained on DIV2K dataset and inference is run on the BSD test set.

To compare only selected loss functions, tick their names and click submit below. Click on any restored image to see its original version.

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Ground Truth
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Average metric score for the dataset:

PSNR: 23.78
SSIM: 0.604
NIQE: 6.565

PSNR: 25.06
SSIM: 0.704
NIQE: 5.761

PSNR: 25.28
SSIM: 0.695
NIQE: 5.964

PSNR: 25.35
SSIM: 0.651
NIQE: 5.812

PSNR: 25.37
SSIM: 0.699
NIQE: 3.635

PSNR: 25.15
SSIM: 0.716
NIQE: 5.785

PSNR: 25.08
SSIM: 0.685
NIQE: 4.325

PSNR: 25.12
SSIM: 0.719
NIQE: 5.691

PSNR: 24.44
SSIM: 0.654
NIQE: 6.174

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