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Papers Benchmarks Datasets Tasks

Shadow Removal research benchmarks – Page 2 · SOTA2 Research

Shadow Removal

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

AeroDS-Syn (test)

21.91PSNR-S

9

Apr 20, 2026

Ambient6K (test)

21.141PSNR

9

Mar 16, 2026

ISTD+ adjusted (test)

Auto-exposure Fusion Network

6.5RMSE (Shadow)

9

Feb 26, 2026

23.62PSNR

8

Apr 21, 2026

3.37RMSE

8

Feb 26, 2026

AISTD adjusted (test)

4.6RMSE (All)

8

Feb 26, 2026

LRSS soft shadow (test)

3.48RMSE

8

Feb 26, 2026

Real captured images (test)

38.34PSNR

7

Feb 26, 2026

6.21RMSE

7

Feb 26, 2026

Detail-Preserving Latent Diffusion

26.26PSNR

6

Feb 26, 2026

Shadow Diffusion

4.12MAE

6

Feb 26, 2026

WSRD+ trained on INS

20.36PSNR

5

Apr 21, 2026

ISTD+ trained on SRD

30.75PSNR

5

Apr 21, 2026

SRD trained on ISTD+

27.02PSNR

5

Apr 21, 2026

Video Shadow Removal dataset (test)

18.3RMSE†

5

Feb 26, 2026

Shadow Removal (test)

InstructDiffusion

19.99PSNR

4

Jul 3, 2026

28.85PSNR

4

Feb 26, 2026

23.32PSNR

4

Feb 26, 2026

640 x 480 images

43.7Latency (ms)

4

Feb 26, 2026

3C tasks Shadow Removal

26.22PSNR

3

Jul 3, 2026

18.05PSNR

2

Jul 3, 2026

—

—Primary metric

0

Feb 26, 2026

Page 2 of 2

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