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Papers Benchmarks Datasets Tasks

Depth Estimation research benchmarks – Page 7 · SOTA2 Research

Depth Estimation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

79.7Delta 1 Accuracy

10

Feb 26, 2026

90.2Delta 1

10

Feb 26, 2026

96.6Delta1 Acc

10

Feb 26, 2026

17.6delta1

10

Feb 26, 2026

ScanNet v2 (test)

SimpleRecon + Ours

0.086Abs Diff

10

Feb 26, 2026

KITTI (official split)

0.05Absolute Relative Error

10

Feb 26, 2026

RGBD-SLAM (test)

0.095Abs Rel

10

Feb 26, 2026

0.074Abs Rel

10

Feb 26, 2026

COCO pseudo-labels from Depth Anything V2 (val)

66.14Delta 1

10

Feb 26, 2026

4D World Modeling

0.31AbsRel

9

Jul 8, 2026

0.089Abs. Rel.

9

May 8, 2026

NYU Sequence 3 v2 shuffled (test)

0.579Absolute Error

9

Mar 30, 2026

NYU Sequence 2 v2 shuffled (test)

0.579Absolute Error

9

Mar 30, 2026

KITTI Setting 3

9.9AbsRel

9

Mar 4, 2026

KITTI Setting 2

0.099AbsRel

9

Mar 4, 2026

KITTI original (test)

9.9AbsRel

9

Mar 4, 2026

Ours (direct optimization approach)

2.277C1 RMSE

9

Feb 26, 2026

6.7Absolute Relative Error

9

Feb 26, 2026

Structured3D (val)

96.79δ1 Accuracy

9

Feb 26, 2026

0.218AbsRel

9

Feb 26, 2026

61.32δ1

9

Feb 26, 2026

Spring 65 (test)

28AbsR (r)

9

Feb 26, 2026

VKITTI2 11 (test)

0.137AbsR (r)

9

Feb 26, 2026

RGB-NIR image fusion method

7.567RMSE

9

Feb 26, 2026

ScanNet keyframes v2 (test)

SimpleRecon + Ours

0.086Abs Diff

9

Feb 26, 2026

Page 7 of 19

Popular datasets

KITTI nuScenes NYU ScanNet Cityscapes

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