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Depth Map Super-Resolution research benchmarks · SOTA2 Research

Depth Map Super-Resolution

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

1.11RMSE

42

Mar 24, 2026

0.04Value Errors

28

Feb 26, 2026

Middlebury Cones 8-bit (test)

bimodal co-sparse analysis model

0.68RMSE

14

Feb 26, 2026

Middlebury Teddy 8-bit (test)

bimodal co-sparse analysis model

0.702RMSE

14

Feb 26, 2026

Middlebury Venus 8-bit (test)

bimodal co-sparse analysis model

0.075RMSE

14

Feb 26, 2026

Middlebury Cones v1 (test)

bimodal co-sparse analysis model

1.81Bad Pixel Rate (delta=1)

13

Feb 26, 2026

Middlebury Teddy v1 (test)

bimodal co-sparse analysis model

1.41Percentage Bad Pixels (delta=1)

13

Feb 26, 2026

Middlebury Venus v1 (test)

bimodal co-sparse analysis model

9Bad Pixels (%) (delta=1)

13

Feb 26, 2026

Middlebury Tsukuba v1 (test)

bimodal co-sparse analysis model

0.47Bad Pixel Rate (delta=1)

13

Feb 26, 2026

Middlebury Tsukuba 8-bit (test)

bimodal co-sparse analysis model

0.255RMSE

11

Feb 26, 2026

Popular datasets

Middlebury NYU Middlebury Tsukuba Middlebury Venus Middlebury Teddy

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