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Table 3 Comparisons of methods on the FiveK test dataset

From: Stacked generative adversarial networks for image compositing

 

PSNR

SSIM

LPIPS

Cut-and-paste

24.40db

0.9547

0.0410

MVCC [1]

27.23db

0.9487

0.0363

IM [8]

22.95db

0.8349

0.0945

DIH [3]

29.96db

0.9368

0.0401

Ours (w/o G2)

33.22db

0.9628

0.0298

Ours (w/ D1 only)

33.66db

0.9517

0.0248

Ours (w/o Shift)

32.46db

0.9504

0.0252

Ours (w/o \(\mathcal {L}_{\text {per}}\))

33.41db

0.9512

0.0422

Ours (w/o \(\mathcal {L}_{\text {gui}}\))

34.42db

0.9580

0.0217

Ours

34.74db

0.9692

0.0209