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Monocular Depth Estimation on ScanNet (test)

0.102Abs RelHD-VGGT
-0.149921.550543.2514.95146Jun 6, 2018Sep 24, 2019Jan 11, 2021May 2, 2022Aug 20, 2023Dec 7, 2024Mar 28, 2026

Evaluation results

MethodLinks
HD-VGGTGT Pose=True2026.030.102—————————————
VGGTGT Pose=True2026.030.119—————————————
HD-VGGTGT Pose=False2026.030.121—————————————
MASt3RGT Pose=True2026.030.131—————————————
DORN2018.060.140.10.130.130.170.220.290.020.06—————
VGGTGT Pose=False2026.030.14—————————————
DUSt3RGT Pose=True2026.030.145—————————————
Mickey-Scevaluation_subset=top 50% scoring positions2024.040.15———0.06—0.35——809599——
MicKey2024.040.16———0.06—0.37——799598——
StructDepthTraining dataset=NYUv22021.080.165—————0.4——75.493.998.50.07—
StructDepthTraining dataset=NYUv22021.080.165—————0.4——75.493.998.5—0.07
MASt3RGT Pose=False2026.030.165—————————————
ZoeDepth2024.040.17———0.07—0.33——799498——
P2Net-finetuneTraining dataset=NYUv22021.080.172—————0.412——74.393.598.40.073—
P2Net-finetuneTraining dataset=NYUv2, Protocol=Fine-tuned2021.080.172—————0.412——74.393.598.4—0.073
P2NetTraining dataset=NYUv22021.080.175—————0.42——7493.298.20.074—
P2NetTraining dataset=NYUv22021.080.175—————0.42——7493.298.2—0.074
PlaneRCNN2024.040.18———0.07—0.37——759398——
DUSt3RGT Pose=False2026.030.182—————————————
Monodepth2Training dataset=NYUv22021.080.191—————0.451——69.392.698.30.08—
Monov2Training dataset=NYUv22021.080.191—————0.451——69.392.698.3—0.08
DPT2024.040.21———0.08—0.38——729197——
P3DepthTraining Dataset=NYU Depth-v2, Zero-shot=true2022.040.223—————0.538——55.1————
VNLTraining Dataset=NYU Depth-v2, Zero-shot=true2022.040.227—————0.563——54.4————
Official Baseline2018.060.250.170.210.240.290.420.530.050.14—————
BTSTraining Dataset=NYU Depth-v2, Zero-shot=true2022.040.255—————0.615——47.2————
Depth Anything V2Zero-shot=true2024.074.2————————97.8————
Depth AnythingZero-shot=true2024.074.3————————98.1————
BetterDepthZero-shot=true2024.074.3————————98.1————
MarigoldZero-shot=true2024.076.4————————95.1————