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Papers Benchmarks Datasets Tasks

Image Inpainting research benchmarks – Page 8 · SOTA2 Research

Image Inpainting

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Places2 butte (val)

0.024L1 Loss

3

Feb 26, 2026

CelebA 40-50% irregular mask

2.85L1 Error (%)

3

Feb 26, 2026

CelebA 30-40% irregular mask

2.18L1 Loss (%)

3

Feb 26, 2026

CelebA 20-30% irregular mask

0.009L1 Loss

3

Feb 26, 2026

CelebA 10-20% irregular mask

0.007L1 Error

3

Feb 26, 2026

22.562PSNR

2

Jul 2, 2026

Latent Transformer-based Diffusion Bridge

23.57PSNR

2

Jun 9, 2026

Diffusion Bridge (DB)

0.059LPIPS

2

Jun 9, 2026

ImageNet random mask

27.73PSNR

2

May 4, 2026

ImageNet center mask

Piecewise Guidance

18.45PSNR

2

May 4, 2026

CelebA-HQ Alternating Lines masks (test)

Self-Refining RePaint

1.221FID

2

Feb 26, 2026

CelebA-HQ Narrow masks (test)

Self-Refining RePaint

5.54FID

2

Feb 26, 2026

CelebA-HQ Wide masks (test)

Self-Refining RePaint

10.356FID

2

Feb 26, 2026

ImageNet 49 (test)

325L1 Error

2

Feb 26, 2026

MatterPort3D 1024x1024 (test)

26.55PSNR

2

Feb 26, 2026

Indoor 512x512 (test)

25.36PSNR

2

Feb 26, 2026

DTD (Describable Textures Dataset) 512 images

25.82PSNR

2

Feb 26, 2026

FFHQ 10,000 (test)

0.046LPIPS

1

Feb 26, 2026

NVIDIA Irregular Mask Dataset

—

—Primary metric

0

Feb 26, 2026

NVIDIA Irregular Mask Dataset (test)

—

—Primary metric

0

Feb 26, 2026

Page 8 of 8

Popular datasets

CelebA FFHQ Places ImageNet CelebA-HQ

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