Monocular Depth Estimation on NYU-Depth v2 (official)

0.056Abs RelDAR-L

Evaluation Results

Method
DAR-L2026.04	0.056	0.205	0.024	98.2	99.8	100	0.011
DAv12026.04	0.056	0.206	0.024	98.4	99.8	100	—
DAv22026.04	0.056	0.206	0.024	98.4	99.8	100	—
DINOv3-L+LFR2026.04	0.057	0.206	0.025	98.4	99.8	100	0.017
DAR-B2026.04	0.058	0.214	0.026	98	99.7	99.9	0.013
ECoDepth2024.03	0.059	0.218	0.026	97.8	99.7	99.9	0.013
EcoDepth2026.04	0.059	0.218	0.026	97.8	99.7	99.9	0.013
DINOv3-L2026.04	0.06	0.212	0.026	98.1	99.8	100	0.018
VPD2024.03	0.069	0.254	0.03	96.4	99.5	99.9	0.027
VPD2024.07	0.069	0.254	0.03	96.4	99.5	99.9	—
VPD2026.04	0.069	0.254	0.03	96.4	99.5	99.9	0.027
DINOv3-B+LFR2026.04	0.07	0.251	0.03	96.5	99.7	99.9	0.025
DINOv3-B2026.04	0.072	0.252	0.031	96.4	99.7	99.9	0.026
ScaleDepth-N2024.07	0.074	0.267	0.032	95.7	99.4	99.9	—
ZoeDepth2024.03	0.075	0.27	0.032	95.5	99.5	99.9	0.03
ZoeDepth2026.04	0.075	0.27	0.032	95.5	99.5	99.9	0.03
AiT2024.03	0.076	0.275	0.033	95.4	99.4	99.9	—
MIM2024.03	0.083	0.287	0.035	94.9	99.4	99.9	—
MIM2026.04	0.083	0.287	0.035	94.9	99.4	99.9	—
DiffusionDepth2024.12	0.085	—	—	93.9	—	—	—
iDisc2024.07	0.086	0.313	0.037	94	99.3	99.9	—
NDDepth2023.09	0.087	0.311	0.038	93.6	99.1	99.8	0.041
IEBins2024.07	0.087	0.314	0.038	93.6	99.2	99.8	—
URCDC-Depth2023.02	0.088	0.316	0.038	93.3	99.2	99.8	—
WorDepth2024.04	0.088	0.317	0.038	93.2	99.2	99.8	—
PixelFormer2024.03	0.09	0.322	0.039	92.9	99.1	99.8	0.043
PixelFormer2026.04	0.09	0.322	0.039	92.9	99.1	99.8	0.043
Yu et al.2024.04	0.093	0.331	0.04	92.1	99	99.8	—
DDP2024.03	0.094	0.329	0.04	92.1	99	99.8	—
DepthFormer2024.04	0.094	0.329	0.04	92.3	98.9	99.7	—
BinsFormer2024.07	0.094	0.33	0.04	92.5	98.9	99.7	—
BinsFormer2024.12	0.094	—	—	92.5	—	—	—
CrossFlow2024.12	0.094	—	—	92.8	—	—	—
NeWCRFs2023.02	0.095	0.334	0.041	92.2	99.2	99.8	—
NeWCRFs2023.09	0.095	0.334	0.041	92.2	99.2	99.8	0.045
NeWCRFs2024.03	0.095	0.334	0.041	92.2	99.2	99.8	0.045
NeWCRFs2024.04	0.095	0.331	0.041	92.2	99.2	99.8	—
NeWCRFs2024.07	0.095	0.334	0.041	92.2	99.2	99.8	—
NeWCRFs2026.04	0.095	0.334	0.041	92.2	99.2	99.8	0.045
DepthFormer2023.02	0.096	0.339	0.041	92.1	98.9	99.8	—
DepthFormer2024.12	0.096	—	—	92.1	—	—	—
Jun et al.2024.03	0.098	0.355	0.042	91.3	98.7	99.8	—
Baseline2024.04	0.098	0.351	0.043	91	99	99.8	—
Localbins2024.03	0.099	0.357	0.042	90.7	98.7	99.8	—
Localbins2026.04	0.099	0.357	0.042	90.7	98.7	99.8	—
Long et al.2023.02	0.101	0.377	0.044	89	98.2	99.6	—
Long et al.2023.09	0.101	0.377	0.044	89	98.2	99.6	—
ASN2024.04	0.101	0.377	0.044	89	98.2	99.6	—
Adabins2023.02	0.103	0.364	0.044	90.3	98.4	99.7	—
Adabins2023.09	0.103	0.364	0.044	90.3	98.4	99.7	—
AdaBins2024.03	0.103	0.364	0.044	90.3	98.4	99.7	—
ASTransformer2024.04	0.103	0.374	0.044	90.2	98.5	99.7	—
AdaBins2024.04	0.103	0.364	0.044	90.3	98.4	99.7	—
AdaBins2024.07	0.103	0.364	0.044	90.3	98.4	99.7	—
AdaBins2024.12	0.103	—	—	90.3	—	—	—
AdaBins2026.04	0.103	0.364	0.044	90.3	98.4	99.7	—
P3Depth2023.02	0.104	0.356	0.043	89.8	98.1	99.6	—
P3Depth2023.09	0.104	0.356	0.043	89.8	98.1	99.6	—
P3Depth2024.03	0.104	0.356	0.043	89.8	98.1	99.6	—
P3Depth2026.04	0.104	0.356	0.043	89.8	98.1	99.6	—
PWA2023.02	0.105	0.374	0.045	89.2	98.5	99.7	—
PWA2023.09	0.105	0.374	0.045	89.2	98.5	99.7	—
TransDepth2023.02	0.106	0.365	0.045	90	98.3	99.6	—
TransDepth2023.09	0.106	0.365	0.045	90	98.3	99.6	—
TransDepth2024.04	0.106	0.365	0.045	90	98.3	99.6	—
TransDepth2024.12	0.106	—	—	90	—	—	—
VNL2023.02	0.108	0.416	0.048	87.5	97.6	99.4	—
DAV2023.02	0.108	0.412	—	88.2	98	99.6	—
VNL2023.09	0.108	0.416	0.048	87.5	97.6	99.4	—
DAV2023.09	0.108	0.412	—	88.2	98	99.6	—
Yin et al.2024.04	0.108	0.416	0.048	87.5	97.6	99.4	—
BTS2024.03	0.11	0.392	0.047	88.5	97.8	99.4	0.066
DPT2024.03	0.11	0.357	0.045	90.4	98.8	99.8	—
Big to Small2024.04	0.11	0.392	0.047	88.5	97.8	99.4	—
DPT-Hybrid2024.04	0.11	0.357	0.045	90.4	98.8	99.8	—
BTS2024.07	0.11	0.392	0.047	88.5	97.8	99.4	—
BTS2026.04	0.11	0.392	0.047	88.5	97.8	99.4	0.066
DPT2026.04	0.11	0.357	0.045	90.4	98.8	99.8	—
Chen et al.2024.03	0.111	0.514	0.048	87.8	97.7	99.4	—
SwinV2-L2024.03	0.112	0.381	0.051	88.6	98.4	99.7	—
SwinV2-L2026.04	0.112	0.381	0.051	88.6	98.4	99.7	—
BTS2023.02	0.113	0.407	0.049	87.1	97.7	99.5	—
BTS2023.09	0.113	0.407	0.049	87.1	97.7	99.5	0.066
Fu et al.2023.02	0.115	0.509	0.051	82.8	96.5	99.2	—
Fu et al.2023.09	0.115	0.509	0.051	82.8	96.5	99.2	—
DORN2024.03	0.115	0.509	0.051	82.8	96.5	99.2	—
DORN2024.04	0.115	0.509	0.051	82.8	96.5	99.2	—
DORN2024.07	0.115	0.509	0.051	82.8	96.5	99.2	—
DORN2026.04	0.115	0.509	0.051	82.8	96.5	99.2	—
GeoNet2024.04	0.128	0.569	0.057	83.4	96	99	—
SwinV2-B2024.03	0.133	0.462	0.059	81.9	97.5	99.5	—
SharpNet2024.03	0.139	0.502	0.047	83.6	96.6	99.3	—
Eigen et al.2023.02	0.158	0.641	—	76.9	95	98.8	—
Eigen et al.2024.03	0.158	0.641	—	76.9	95	98.8	—
Eigen et al.2026.04	0.158	0.641	—	76.9	95	98.8	—
CLIPMDE2024.04	0.319	0.97	0.139	46.5	77.6	92.2	—
DepthCLIP2024.04	0.388	1.167	0.156	39.4	68.3	85.1	—