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Monocular Depth Estimation on ScanNet

0.97AbsRelRVM-S
0.56483.29996.0358.7701Oct 18, 2022May 28, 2023Jan 5, 2024Aug 14, 2024Mar 24, 2025Nov 1, 2025Jun 11, 2026

Evaluation results

MethodLinks
RVM-SSize(M)=342025.120.97—
SiamMAE-SSize(M)=272025.121—
RVM-BSize(M)=1172025.121.08—
4DS-BSize(M)=91, config=dist from e2025.121.21—
LeReSwith Ours=true2026.051.399.4
GeoWizardwith Ours=true2026.051.399.4
DPTwith Ours=true2026.051.499.4
Marigoldwith Ours=true2026.051.499.1
UniDepthV2with Ours=true2026.051.499.3
VideoMAE-BSize(M)=872025.121.5—
MiDaSwith Ours=true2026.051.599.1
Lotuswith Ours=true2026.051.599.2
Metric3Dv2with Ours=true2026.051.599.2
DepthAnythingV2with Ours=true2026.051.699.1
DepthMasterwith Ours=true2026.051.699.2
4DS-BSize(M)=912025.121.65—
Depth Prowith Ours=true2026.05298.6
4DS-SSize(M)=242025.122.05—
DepthLabSynthetic Training Samples=74k2024.122.398.5
Modality ForcingMethod Type=I2D from Joint Model2026.062.3298.9
PPDType=Generative, Evaluation Protocol=Zero-shot2026.013.598.1
MoGe 2Type=Discriminative, Evaluation Protocol=Zero-shot2026.013.897.1
Depth ProType=Discriminative, Evaluation Protocol=Zero-shot2026.013.997.8
PPDMethod Type=Generative depth estimation2026.064.0497.8
DepthAnythingV2Real Training Samples=62M, Synthetic Training Samples=595K2024.124.198.2
DepthAnything v2Zero-shot=true2025.024.297.8
Depth Anything v2Type=Discriminative, Evaluation Protocol=Zero-shot2026.014.297.6
DepthAnythingReal Training Samples=63.5M2024.124.298.1
Depth Prowith Ours=false2026.054.298
Depth AnythingTraining samples=63.5M, Feed-forward=true, Diffusion=false, Zero-shot=true2024.074.398.1
BetterDepth-2KTraining samples=2K, Feed-forward=true, Diffusion=true, Zero-shot=true2024.074.398
BetterDepthTraining samples=74K, Feed-forward=true, Diffusion=true, Zero-shot=true2024.074.398.1
Cross-Context DistillationZero-shot=true, Teacher Model=DepthAnythingv2-Large2025.024.398
DepthAnythingV2with Ours=false2026.054.398.1
BetterDepth-400Training samples=400, Feed-forward=true, Diffusion=true, Zero-shot=true2024.074.697.8
Metric3Dv2with Ours=false2026.054.799
Cross-Context DistillationZero-shot=true, Teacher Model=MiDaS v3.12025.024.998
HD-VGGT2026.034.996.1
LotusMethod Type=Generative depth estimation2026.065.0196.5
WorldMirror2026.035.295.7
pi^32026.035.495.6
GeoWizardMethod Type=Generative depth estimation2026.065.4995.7
DepthMasterwith Ours=false2026.055.596.7
GenPerceptType=Generative, Evaluation Protocol=Zero-shot2026.015.696.5
VGGT2026.035.695.1
JointDiTMethod Type=I2D from Joint Model2026.065.7696.3
Marigold v1.1Prior=SD - 2.3B, training samples=74K2025.125.896.3
Marigold E2EPrior=SD - 2.3B, training samples=74K2025.125.896.2
UniDepthV2with Ours=false2026.055.897.5
MarigoldMethod Type=Generative depth estimation2026.065.8995.2
LotusType=Generative, Evaluation Protocol=Zero-shot2026.015.995.7
Lotuswith Ours=false2026.05696.3
GeoWizardTraining samples=280K, Feed-forward=false, Diffusion=true, Zero-shot=true2024.076.195.3
GeoWizardType=Generative, Evaluation Protocol=Zero-shot2026.016.195.3
GeoWizardSynthetic Training Samples=278K2024.126.195.4
GeoWizardwith Ours=false2026.056.195.3
GenPerceptZero-shot=true2025.026.396
DepthFMType=Generative, Evaluation Protocol=Zero-shot2026.016.395.4
MarigoldSynthetic Training Samples=74k2024.126.395.4
MarigoldTraining samples=74K, Feed-forward=false, Diffusion=true, Zero-shot=true2024.076.495.1
MarigoldZero-shot=true2025.026.495.1
MarigoldType=Generative, Evaluation Protocol=Zero-shot2026.016.495.1
Marigoldwith Ours=false2026.056.495.1
Metric3DPrior=DINOv2 - 142M, training samples=16M2025.126.695
MarigoldPrior=SD - 2.3B, training samples=74K2025.126.695
OmnidataReal Training Samples=11.9M, Synthetic Training Samples=310K2024.127.294.1
OmnidataTraining samples=12.2M, Feed-forward=true, Diffusion=false, Zero-shot=true2024.077.593.6
OmnidataType=Discriminative, Evaluation Protocol=Zero-shot2026.017.593.6
OmnidataZero-shot=true2025.027.793.5
DPTZero-shot=true2025.027.893.8
VAR-DepthPrior=Switti - 100M, training samples=74K, config=optimized wk2025.127.993.4
Hierarchical Depth NormalizationTraining Data=~ 300K, Zero-shot transfer=true2022.10893.9
HDNTraining samples=300K, Feed-forward=true, Diffusion=false, Zero-shot=true2024.07893.9
HDNZero-shot=true2025.02893.9
HDNType=Discriminative, Evaluation Protocol=Zero-shot2026.01893.9
HDNPrior=ImageNet - 14M, training samples=300K2025.12893.9
HDNReal Training Samples=300K2024.12894.2
DUSt3R2026.038.190.9
DPTType=Discriminative, Evaluation Protocol=Zero-shot2026.018.293.4
DPTPrior=ImageNet - 14M, training samples=1.4M2025.128.293.4
DPTTraining samples=1.4M, Feed-forward=true, Diffusion=false, Zero-shot=true2024.078.493.2
DPTReal Training Samples=1.2M, Synthetic Training Samples=188K2024.128.493.2
DPTwith Ours=false2026.058.493.2
LeReSTraining samples=354K, Feed-forward=true, Diffusion=false, Zero-shot=true2024.079.191.7
LeReSType=Discriminative, Evaluation Protocol=Zero-shot2026.019.191.7
LeReSPrior=ImageNet - 1M, training samples=354K2025.129.191.7
LeReSwith Ours=false2026.059.191.7
UniConMethod Type=I2D from Joint Model2026.069.2391
LeresTraining Data=~ 360K, Zero-shot transfer=true2022.109.591.2
LeReSZero-shot=true2025.029.591.2
LeReSReal Training Samples=300K, Synthetic Training Samples=54K2024.129.690.4
MiDaSTraining samples=2M, Feed-forward=true, Diffusion=false, Zero-shot=true2024.079.990.7
MiDaSwith Ours=false2026.059.990.7
DiverseDepthTraining Data=~ 300K, Zero-shot transfer=true2022.1010.888.2
DiverseDepthZero-shot=true2025.0210.888.2
DiverseDepthTraining samples=320K, Feed-forward=true, Diffusion=false, Zero-shot=true2024.0710.988.2
DiverseDepthType=Discriminative, Evaluation Protocol=Zero-shot2026.0110.988.2
DiverseDepthPrior=ImageNet - 1M, training samples=320K2025.1210.988.2
MASt3R2026.031186.5
MiDaSTraining Data=~ 2M, Zero-shot transfer=true2022.1011.188.6