Hyper-parameter tuning for VGG and LPIPS loss functions for the task of single-image super resolution (EDSR).

The EDSR network is trained on DIV2K dataset and inference is run on 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.

Ground Truth

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Average metric score for the dataset:

PSNR: 25.28

PSNR: 25.35

PSNR: 24.54

PSNR: 24.75

PSNR: 25.09

PSNR: 25.28

PSNR: 25.03

PSNR: 24.31

PSNR: 16.34

PSNR: 21.21

PSNR: 24.44

Original image: 103070.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 105025.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 106024.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 108005.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 108070.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 108082.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 109053.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 119082.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 12084.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 123074.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 126007.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 130026.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 134035.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 14037.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 143090.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 145086.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 147091.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 148089.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 156065.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 157055.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 159008.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 160068.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 16077.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 163085.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 167062.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 170057.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 175043.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 182053.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 19021.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE

Original image: 196073.jpg

LPIPS*0.01+MSE

LPIPS*0.1+MSE

LPIPS*100+MSE

LPIPS*10+MSE

LPIPS*1+MSE

MSE

VGG*0.01+MSE

VGG*0.1+MSE

VGG*100+MSE

VGG*10+MSE

VGG*1+MSE