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Monocular Depth Estimation on Pano3D zero-shot GV2

86δ1 AccuracyUpper-bound
22.24838.79955.3571.901Mar 28, 2026Apr 6, 2026Apr 15, 2026Apr 24, 2026May 3, 2026May 12, 2026May 22, 2026

Evaluation results

MethodLinks
Upper-boundbest solution per sample=true2026.05860.1320.36
UniK3D2026.05820.1520.383
DepthAgent2026.0581.90.1450.365
Rand-Sol2026.0579.20.1580.422
Rand-Model2026.0578.70.160.429
UniK3DDataset Size=7.94M, Backbone=ViT-L [7], Zero-shot evaluation=true2026.0378.50.170.4
UniDACDataset Size=1.45M, Backbone=ViT-L [7], Zero-shot evaluation=true2026.0376.80.1610.394
UniDAC2026.0575.50.1690.472
MLP2026.0574.40.1820.473
Max2026.0573.50.2350.5
DACUDataset Size=0.79M, Backbone=Swin-L [32], Zero-shot evaluation=true2026.0368.40.2030.507
Mean2026.05620.1990.529
Metric3Dv22026.0542.20.30.847
UniDepth2026.0541.50.3140.898
Metric3Dv2Dataset Size=16.20M, Backbone=ViT-L [7], Zero-shot evaluation=true2026.0340.40.3070.855
Metric3D2026.0540.30.290.721
DepthFusion2026.0537.80.3271
Min2026.0526.60.3541.091
UniDepthDataset Size=3.83M, Backbone=ViT-L [7], Zero-shot evaluation=true2026.0324.70.7890.127