Monocular Depth Estimation on 3D-Mirage benchmark leaderboard · SOTA2 Research

Monocular Depth Estimation on 3D-Mirage

31.19d_clusterGrounded Self-Distill

Evaluation Results

Method	Links
Grounded Self-Distill2025.12		31.19	33.01	64.2	0.0001	0.0001	0.0002
DA-S2025.12		225.9	233.9	459.8	0.0003	0.0004	0.0007
ZoeDepth2025.12		230.8	236.9	467.7	0.0005	0.0005	0.001
DA-B2025.12		236	246.7	482.7	0.0003	0.0004	0.0006
DA-L2025.12		243.3	251.7	495	0.0003	0.0003	0.0006
DepthPro2025.12		317.8	331.4	649.1	0.0007	0.0009	0.0016
MiDaS2025.12		330.2	340	670.2	0.0004	0.0005	0.0009
DAv2-IB2025.12		347.5	359.5	706.9	0.0011	0.0012	0.0023
DAv2-IL2025.12		406.1	418.4	824.5	0.0012	0.0012	0.0023
DAv2-IS2025.12		415.6	424.5	840.1	0.0015	0.0015	0.0029
DAv2-B2025.12		431.7	449.3	881	0.0006	0.0007	0.0014
DAv2-L2025.12		488.8	505.8	994.6	0.0007	0.0008	0.0015
DAv2-S2025.12		495.9	511.2	1,007	0.0007	0.0008	0.0015
DAv2-OL2025.12		537	547.5	1,085	0.002	0.002	0.0039
DAv2-OS2025.12		685.4	698.4	1,384	0.0031	0.0031	0.0062
Marigold2025.12		701.1	726.2	1,427	0.0023	0.0024	0.0047
DAv2-OB2025.12		713.4	726.1	1,439	0.0029	0.0029	0.0058
DepthFM2025.12		1,020	1,063	2,083	0.0049	0.0052	0.0101