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Papers Benchmarks Datasets Tasks

Image Inpainting research benchmarks – Page 3 · SOTA2 Research

Image Inpainting

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

0.283LPIPS

9

Jun 16, 2026

FFHQ 95% missing random mask 100 images (val)

24.9PSNR

9

Mar 4, 2026

MISATO User Study 1.0 (test)

39.43UOM

9

Feb 26, 2026

BSD68 MR = 0.75

22.59PSNR

9

Feb 26, 2026

BSD68 MR = 0.65

24.33PSNR

9

Feb 26, 2026

BSD68 MR = 0.50

26.8PSNR

9

Feb 26, 2026

Set12 MR = 0.75

22.4PSNR

9

Feb 26, 2026

Set12 MR = 0.65

24.24PSNR

9

Feb 26, 2026

Set12 MR = 0.50

26.74PSNR

9

Feb 26, 2026

CIFAR-10 (test)

25.44PSNR

9

Jul 7, 2026

36.24PSNR

9

Feb 26, 2026

Places2 (0.5, 0.6] (test)

19.44PSNR

9

Feb 26, 2026

Places2 (0.4, 0.5] (test)

21.92PSNR

9

Feb 26, 2026

Places2 (0.3, 0.4] (test)

23.84PSNR

9

Feb 26, 2026

Places2 (0.2, 0.3] (test)

26.29PSNR

9

Feb 26, 2026

Places2 (0.1, 0.2] (test)

29.42PSNR

9

Feb 26, 2026

Places2 (0.01, 0.1] (test)

35.74PSNR

9

Feb 26, 2026

FFHQ 256x256 (test)

25.61PSNR

8

Jun 5, 2026

ImageNet64 Random Mask (test)

13.33PSNR

8

May 1, 2026

ImageNet64 Rotated Window Mask (test)

9.27PSNR

8

May 1, 2026

Taskonomy tiny (test)

59.3FID

8

Feb 26, 2026

CelebA with irregular mask 40-60% mask ratio

24.5PSNR

8

Feb 26, 2026

CelebA with irregular mask 20-40% mask ratio

29.31PSNR

8

Feb 26, 2026

CelebA with irregular mask 0-20% mask ratio

36.44PSNR

8

Feb 26, 2026

FFHQ wide mask 256x256 (test)

Spectral Hint GAN

2.334FID

8

Feb 26, 2026

Page 3 of 8

Popular datasets

CelebA FFHQ Places ImageNet CelebA-HQ

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