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Monocular Depth Estimation on NYU v2

99.5Delta 1 AccDepth Pro
94.395.659798.35Jun 2, 2023Dec 3, 2023Jun 4, 2024Dec 5, 2024Jun 7, 2025Dec 8, 2025Jun 11, 2026

Evaluation results

MethodLinks
Depth Prowith Ours=true2026.0599.5——————0.012—
DepthAnythingV2with Ours=true2026.0599.5——————0.013—
LeReSwith Ours=true2026.0599.4——————0.014—
DPTwith Ours=true2026.0599.4——————0.016—
GeoWizardwith Ours=true2026.0599.4——————0.014—
Metric3Dv2with Ours=true2026.0599.4——————0.014—
Lotuswith Ours=true2026.0599.3——————0.015—
DepthMasterwith Ours=true2026.0599.3——————0.016—
UniDepthV2with Ours=true2026.0599.3——————0.017—
Marigoldwith Ours=true2026.0599.1——————0.017—
Modality ForcingMethod Type=I2D from Joint Model2026.0698.9——————2.52—
DepthLabSynthetic Training Samples=74k2024.1298.8——————2.5—
HD-VGGT2026.0398.8——————0.035—
pi^32026.0398.6——————0.038—
UniDepth V2Method Type=Discriminative depth estimation2026.0698.6——————2.96—
MoGe-2Method Type=Discriminative depth estimation2026.0698.6——————2.89—
Cross-Context DistillationZero-shot=true, Teacher Model=MiDaS v3.12025.0298.5———0.046————
MoGeFine-tuning=false, Evaluation Protocol=Scale-invariant relative depth2025.1198.5———3.02————
MoGe 2Type=Discriminative, Evaluation Protocol=Zero-shot2026.0198.4——————3.1—
VGGTFine-tuning=false, Evaluation Protocol=Scale-invariant relative depth2025.1198.3———3.14————
VGGT+OursFine-tuning=true, Evaluation Protocol=Scale-invariant relative depth2025.1198.3———3.1————
PPDType=Generative, Evaluation Protocol=Zero-shot2026.0198.2——————3.3—
DINOv3ViT=H+/16, #Params=841M, Zero-shot=true, DPT head=true2025.1298.2———0.044————
Depth ProMethod Type=Discriminative depth estimation2026.0698.2——————3.67—
Cross-Context DistillationZero-shot=true, Teacher Model=DepthAnythingv2-Large2025.0298.1———0.043————
Depth AnythingTraining samples=63.5M, Feed-forward=true, Diffusion=false, Zero-shot=true2024.0798———4.3————
BetterDepthTraining samples=74K, Feed-forward=true, Diffusion=true, Zero-shot=true2024.0798———4.2————
BetterDepthGT aligned=true2024.1198———0.04————
UniDepthGT aligned=false2024.1198———0.05————
MiDaS v3.1Zero-shot=true2025.0298————————
PixioViT=H/16, #Params=631M, Zero-shot=true, DPT head=true2025.1298———0.041————
DepthAnythingV2Real Training Samples=62M, Synthetic Training Samples=595K2024.1298——————4.4—
DepthAnythingV2with Ours=false2026.0598——————0.043—
BetterDepth-400Training samples=400, Feed-forward=true, Diffusion=true, Zero-shot=true2024.0797.9———4.6————
BetterDepth-2KTraining samples=2K, Feed-forward=true, Diffusion=true, Zero-shot=true2024.0797.9———4.4————
DepthAnything v2Zero-shot=true2025.0297.9———0.045————
CUT3RFine-tuning=false, Evaluation Protocol=Scale-invariant relative depth2025.1197.9———3.73————
CUT3R+OursFine-tuning=true, Evaluation Protocol=Scale-invariant relative depth2025.1197.9———3.68————
DINOv2ViT=g/14, #Params=1137M, Zero-shot=true, DPT head=true2025.1297.9———0.046————
DA-v2Method Type=Discriminative depth estimation2026.0697.9——————4.16—
DUSt3R+OursFine-tuning=true, Evaluation Protocol=Scale-invariant relative depth2025.1197.8———3.68————
Depth ProType=Discriminative, Evaluation Protocol=Zero-shot2026.0197.8——————4—
DUSt3RFine-tuning=false, Evaluation Protocol=Scale-invariant relative depth2025.1197.7———3.83————
PPDMethod Type=Generative depth estimation2026.0697.7——————3.82—
Depth Anything v2Type=Discriminative, Evaluation Protocol=Zero-shot2026.0197.6——————4.1—
DINOv2ViT=L/14, #Params=304M, Zero-shot=true, DPT head=true2025.1297.6———0.05————
DepthAnythingReal Training Samples=63.5M2024.1297.6——————4.4—
Depth Prowith Ours=false2026.0597.5——————0.044—
Metric3Dv2with Ours=false2026.0597.3——————0.067—
ZoeDepthMethod Type=Discriminative depth estimation2026.0697.3——————4.76—
LotusMethod Type=Generative depth estimation2026.0697.3——————4.31—
DepthMasterwith Ours=false2026.0597.2——————0.05—
LotusGT aligned=false2024.1197———0.05————
Metric3Dv2GT aligned=false2024.1197———0.07————
SharpDepthGT aligned=false2024.1197———0.06————
MAEViT=H/14, #Params=631M, Zero-shot=true, DPT head=true2025.1297———0.054————
UniDepthV2with Ours=false2026.0597——————0.062—
GenPerceptZero-shot=true2025.0296.9———0.058————
VGGT2026.0396.9——————0.062—
JointDiTMethod Type=I2D from Joint Model2026.0696.9——————5.12—
LotusType=Generative, Evaluation Protocol=Zero-shot2026.0196.8——————5.4—
WorldMirror2026.0396.8——————0.063—
MarigoldMethod Type=Generative depth estimation2026.0696.8——————4.88—
MoGe-2Fine-tuning=false, Evaluation Protocol=Metric depth2025.1196.7———6.92————
Lotuswith Ours=false2026.0596.7——————0.053—
MASt3RMethod Type=Discriminative depth estimation2026.0696.7——————4.67—
GeoWizardTraining samples=280K, Feed-forward=false, Diffusion=true, Zero-shot=true2024.0796.6———5.2————
GeoWizardType=Generative, Evaluation Protocol=Zero-shot2026.0196.6——————5.2—
GenPerceptType=Generative, Evaluation Protocol=Zero-shot2026.0196.6——————5.2—
GeoWizardwith Ours=false2026.0596.6——————0.052—
GeoWizardMethod Type=Generative depth estimation2026.0696.6——————4.89—
GeoWizardSynthetic Training Samples=278K2024.1296.5——————5.2—
VPD2023.1096.40.25499.599.90.0690.03———
MeSa2023.1096.40.23899.599.90.0660.029———
MarigoldTraining samples=74K, Feed-forward=false, Diffusion=true, Zero-shot=true2024.0796.4———5.5————
MarigoldType=Generative, Evaluation Protocol=Zero-shot2026.0196.4——————5.5—
MarigoldSynthetic Training Samples=74k2024.1296.4——————5.6—
Marigoldwith Ours=false2026.0596.4——————0.055—
DepthFMType=Generative, Evaluation Protocol=Zero-shot2026.0196.3——————5.5—
MarigoldZero-shot=true2025.0296.1———0.055————
MarigoldGT aligned=true2024.1196———0.05————
DepthFMTraining samples=63K, Feed-forward=false, Diffusion=true, Zero-shot=true2024.0795.6———6.5————
DepthFMSynthetic Training Samples=63K2024.1295.6——————6.5—
ZoeDepth2023.1095.50.2799.599.90.0750.032———
PixioViT=H/16, #Params=631M, Head type=DPT Head2025.1295.50.268———————
AiT2023.1095.40.27599.499.90.0760.033———
AiT-PArchitecture=SwinV2-L2023.0695.30.279——0.076————
ZoeDepthGT aligned=false2024.1195———0.08————
Xie et al.2023.1094.90.28799.499.90.0830.035———
MIMArchitecture=SwinV2-L2023.0694.90.287——0.083————
MiDaSwith Ours=true2026.0594.9——————0.048—
HDNTraining samples=300K, Feed-forward=true, Diffusion=false, Zero-shot=true2024.0794.8———6.9————
HDNZero-shot=true2025.0294.8———0.069————
HDNType=Discriminative, Evaluation Protocol=Zero-shot2026.0194.8——————6.9—
DINOv2 ViT-B/14readout=DPT2026.0294.80.297———————
Omnivorous ViT-B/14readout=DPT2026.0294.80.297———————
DDVMArchitecture=Efficient U-Net, Unsupervised Pretraining=true, Auxiliary Supervised Depth Data=true, samples=42023.0694.60.315——0.074————
HDNReal Training Samples=300K2024.1294.6——————7.2—
OmnidataTraining samples=12.2M, Feed-forward=true, Diffusion=false, Zero-shot=true2024.0794.5———7.4————
OmnidataZero-shot=true2025.0294.5———0.074————