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Depth Estimation research benchmarks – Page 13 · SOTA2 Research

Depth Estimation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

0.105AbsRel

5

Jul 1, 2026

GAPartManip simulation (test)

0.69EPE

5

Jun 23, 2026

0.161AbsR (T+0.75s)

5

Jun 17, 2026

6Abs Rel

5

Jun 16, 2026

10.816RMSE

5

Jun 2, 2026

EndoSLAM Small Intestine

DepthNet with Generative Latent Bank

0.336Abs Rel

5

Jun 2, 2026

DepthNet with Generative Latent Bank

0.351Abs Rel

5

Jun 2, 2026

SphericalDreamer

0.161AbsRel

5

May 20, 2026

Cityscapes-style generated videos

0.856SSIM

5

May 15, 2026

0.054Depth Error

5

Apr 15, 2026

3.8AbsRel

5

Mar 25, 2026

Kitti (test val)

11.4Abs Rel Error

5

Mar 24, 2026

Bonn (test val)

5.9Abs Rel

5

Mar 24, 2026

Sintel (test val)

0.329Abs Rel

5

Mar 24, 2026

Carla zero-shot transfer from Waymo original-view (test)

6.01RMSE (Static)

5

Mar 23, 2026

ScanNet 100-frame video (test)

9Total Time

5

Feb 26, 2026

KITTI ≤ 80m improved ground-truth (Eigen)

0.072Abs Rel

5

Feb 26, 2026

KITTI (depth ≤ 20m) improved ground-truth (Eigen split)

5.1Abs Rel

5

Feb 26, 2026

Shoot-Bounce-3D (test)

Shoot-Bounce-3D

0.023MAE

5

Feb 26, 2026

0.287Log RMSE

5

Feb 26, 2026

0.071MAE

5

Feb 26, 2026

640x480 image pairs (test)

1,098.89FPS

5

Feb 26, 2026

Average (Infinigen, Sintel, KITTI, TUM RGB-D)

0.16AbsRel

5

Feb 26, 2026

192-frame sequence 518x924 resolution (inference)

4.4Inference Time (s)

5

Feb 26, 2026

Long Range Dataset (train val)

2.27MAE (0-80m)

5

Feb 26, 2026

Page 13 of 19

Popular datasets

KITTI nuScenes NYU ScanNet Cityscapes

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