Monocular Depth Estimation on SUN RGB-D benchmark leaderboard · SOTA2 Research

Monocular Depth Estimation on SUN RGB-D

0.085Absolute Relative Error (Abs Rel)Student-DepthMap

Evaluation Results

Method	Links
Student-DepthMap2026.01		0.085	—	0.033	—	99.31	99.65
UniDepth2026.01		0.087	—	0.037	—	99.33	99.8
Depth Pro2026.01		0.113	—	0.049	—	98.51	99.55
DepthAnything2026.01		0.114	—	0.053	—	98.81	99.77
ZoeDepth2026.01		0.123	—	0.053	—	97.95	99.51
IEBins2023.09		0.135	0.405	0.059	82.2	97.1	99.3
BinsFormer2023.09		0.143	0.421	0.061	80.5	96.3	99
PixelFormer2023.09		0.144	0.441	0.062	80.2	96.2	99
LocalBins2023.09		0.156	0.47	0.067	77.7	94.9	98.5
Metric3D v22026.01		0.156	—	0.076	—	96.35	99.55
IEBins2023.09		0.157	0.476	0.069	76.8	95	98.7
AdaBins2023.09		0.159	0.476	0.068	77.1	94.4	98.3
BinsFormer2023.09		0.162	0.478	0.069	76	94.5	98.5
Chen et al.2023.09		0.166	0.494	0.071	75.7	94.3	98.4
BTS2023.09		0.172	0.515	0.075	74	93.3	98
DepthAnything v22026.01		0.182	—	0.07	—	97.65	99.46
VNL2023.09		0.183	0.541	0.082	69.6	91.2	97.3
PatchFusion2026.01		0.466	—	0.961	—	60.15	60.65
Metric3D2026.01		1.712	—	0.382	—	27	34.12
DAV22026.01		—	—	—	72.4	—	—
DepthAnything2026.01		—	—	—	85	—	—
DepthPro2026.01		—	—	—	89	—	—
Metric3D2026.01		—	—	—	16.9	—	—
Metric3D-v22026.01		—	—	—	75.6	—	—
PatchFusion2026.01		—	—	—	53.6	—	—
Student-DepthMap2026.01		—	—	—	97.7	—	—
UniDepth2026.01		—	—	—	95.8	—	—
ZoeDepth2026.01		—	—	—	85.7	—	—