Table 1 Quantitative comparison with state-of-the-art methods on MIT-Adobe FiveK dataset.

From: Dual-color space network with global priors for photo retouching

Method

PSNR \(\uparrow\)

SSIM \(\uparrow\)

\(\triangle {E}^{*}\) \(\downarrow\)

#params

White-Box5

18.59

0.797

13.24

8,561,762

Distort-and-Recover6

19.54

0.800

12.91

259,263,320

DUPE26

20.22

0.829

13.38

998,816

Pix2Pix27

22.05

0.788

11.88

11,383,427

HDRNet4

22.65

0.880

11.64

482,080

CSRNet23

23.62

0.894

10.97

36,489

NeurOp24

23.87

0.899

10.48

28,108

Ours

24.12

0.900

10.23

92,882

  1. Significant values are in bold.