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Multi-view Depth Estimation research benchmarks – Page 2 · SOTA2 Research

Multi-view Depth Estimation

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

Tanks and Temples (T&T) (test)

2.04Relative Error

9

Feb 26, 2026

2.44Relative Error (rel)

9

Feb 26, 2026

KITTI 2015 (test)

3.54Rel Error

9

Feb 26, 2026

RobustMVD Average

3.7Abs Rel Error

8

Mar 27, 2026

ETH3D Large noise level

0.032AbsRel

8

Feb 26, 2026

ETH3D Medium noise level

0.03AbsRel

8

Feb 26, 2026

ETH3D Small noise level

0.029AbsRel

8

Feb 26, 2026

0.004Abs Rel Error

6

Feb 26, 2026

0.013Abs Rel Error

6

Feb 26, 2026

0.016Abs Rel Error

6

Feb 26, 2026

RIAV-MVS (+pose,atten)

0.009AbsRel

5

Feb 26, 2026

Page 2 of 2

Popular datasets

ETH3D ScanNet KITTI DTU Tanks&Temples

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