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Monocular Depth Estimation on NYU-Depth V2 (test) (AbsRel, delta1)

0.041AbsRelLAGRNet
-0.425362.722575.87059.01843Jan 5, 2025Mar 25, 2025Jun 13, 2025Aug 31, 2025Nov 19, 2025Feb 6, 2026Apr 27, 2026

Evaluation results

MethodLinks
LAGRNeteval_mode=Zero-shot evaluation2026.040.04198.7
DepthAnything v1eval_mode=Zero-shot evaluation2026.040.04398.1
DistillAnyDeptheval_mode=Zero-shot evaluation2026.040.04398.1
DepthAnything v2eval_mode=Zero-shot evaluation2026.040.04597.9
Marigoldeval_mode=Zero-shot evaluation2026.040.05596.1
GenPercepteval_mode=Zero-shot evaluation2026.040.05896.9
HDNeval_mode=Zero-shot evaluation2026.040.06994.8
Omnidataeval_mode=Zero-shot evaluation2026.040.07494.5
DPTeval_mode=Zero-shot evaluation2026.040.09890.3
MiDaSeval_mode=Zero-shot evaluation2026.040.11188.5
DiverseDeptheval_mode=Zero-shot evaluation2026.040.11787.5
Depth Anything V2Training Data=63.5M, zero-shot=true, affine-invariant=true2025.014.398
DepthMasterTraining Data=74K, zero-shot=true, affine-invariant=true2025.01597.2
GeoWizardTraining Data=280K, zero-shot=true, affine-invariant=true2025.015.296.6
LotusTraining Data=59K, zero-shot=true, affine-invariant=true2025.015.396.7
MarigoldTraining Data=74K, zero-shot=true, affine-invariant=true2025.015.596.4
GenPerceptTraining Data=74K, zero-shot=true, affine-invariant=true2025.015.696
DepthFMTraining Data=74K, zero-shot=true, affine-invariant=true2025.01695.5
HDNTraining Data=300K, zero-shot=true, affine-invariant=true2025.016.994.8
OmnidataTraining Data=12.2M, zero-shot=true, affine-invariant=true2025.017.494.5
LeReSTraining Data=354K, zero-shot=true, affine-invariant=true2025.01991.6
DPTTraining Data=1.4M, zero-shot=true, affine-invariant=true2025.019.191.9
MiDaSTraining Data=2M, zero-shot=true, affine-invariant=true2025.019.591.5
DiverseDepthTraining Data=320K, zero-shot=true, affine-invariant=true2025.0111.787.5