Monocular Depth Estimation on NYU Depth Eigen v2 (test)

0.044A.RelEdit2Perc

Evaluation Results

Method
Edit2Perc2026.07	0.044	—	—	97.6	—	—
DAv22026.07	0.045	—	—	97.9	—	—
ReChannel-9B2026.07	0.051	—	—	97.4	—	—
GeoWizard2026.07	0.052	—	—	96.6	—	—
Lotus-D2026.07	0.053	—	—	97.7	—	—
Marigold2026.07	0.055	—	—	96.4	—	—
GenPercept2026.07	0.056	—	—	96	—	—
ReChannel-4B2026.07	0.056	—	—	96.4	—	—
Ours2022.04	0.072	0.029	0.267	95.2	98.9	99.7
DeepOptics2022.04	0.082	0.052	0.433	93	99	99.9
Alhashim et al.2022.04	0.093	0.05	0.382	93.2	98.9	99.7
PhaseCam3D2022.04	0.093	0.05	0.382	93.2	98.9	99.7
DepthFormer2022.03	0.096	0.041	0.339	92.1	98.9	99.8
Long et al.2022.04	0.101	0.044	0.377	89	98.2	99.6
AdaBins2022.04	0.103	0.044	0.364	90.3	98.4	99.7
AdaBins2022.04	0.103	0.044	0.364	90.3	98.4	99.7
AdaBins2022.03	0.103	0.044	0.364	90.3	98.4	99.7
P3Depth2022.04	0.104	0.043	0.356	89.8	98.1	99.6
TransDepth2022.03	0.106	0.045	0.365	90	98.3	99.6
StruMonoNet2022.04	0.107	0.046	0.392	88.7	98	99.5
Yin et al.2022.04	0.108	0.048	0.416	87.5	97.6	99.4
Huynh et al.2022.04	0.108	—	0.412	88.2	98	99.6
Yin et al.2022.04	0.108	0.048	0.416	87.5	97.6	99.4
DAV2022.04	0.108	—	0.412	88.2	98	99.6
DAV2022.03	0.108	—	0.412	88.2	98	99.6
Lee et al.2022.04	0.11	0.047	0.392	88.5	97.8	99.4
Ranftl et al.2022.04	0.11	0.045	0.357	90.4	98.8	99.8
BTS2022.04	0.11	0.047	0.392	88.5	97.8	99.4
DPT-Hybrid2022.04	0.11	0.045	0.357	90.4	98.8	99.8
BTS2022.03	0.11	0.047	0.392	88.5	97.8	99.4
DPT2022.03	0.11	0.045	0.357	90.4	98.8	99.8
Fu et al.2022.04	0.115	0.051	0.509	82.8	96.5	99.2
DORN2022.04	0.115	0.051	0.509	82.8	96.5	99.2
DORN et al.2022.03	0.115	0.051	0.509	82.8	96.5	99.2
PlaneRCNN2022.04	0.124	0.077	0.644	—	—	—
Laina et al.2022.04	0.127	0.055	0.573	81.1	95.3	98.8
Laina et al.2022.04	0.127	0.055	0.573	81.1	95.3	98.8
Hao et al.2022.04	0.127	0.053	0.555	84.1	96.6	99.1
Laina et al.2022.03	0.127	0.055	0.573	81.1	95.3	98.8
Qi et al.2022.04	0.128	0.057	0.569	83.4	96	99
Yu et al.2022.04	0.134	0.057	0.503	82.7	96.3	99
MonoIndoor2022.03	0.134	—	0.526	82.3	95.8	98.9
StructDepth2022.03	0.14	0.06	0.534	81.7	95.5	98.8
PlaneNet2022.04	0.142	0.06	0.514	81.2	95.7	98.9
Li et al. [39]2022.04	0.143	0.063	0.635	78.8	95.8	99.1
P2 Net2022.04	0.147	0.062	0.553	80.1	95.1	98.7
Chakrabarti2022.04	0.149	—	0.62	80.6	95.8	98.7
Eigen et al.2022.04	0.158	—	0.641	76.9	95	98.8
Eigen et al.2022.04	0.158	—	0.641	76.9	95	98.8
Eigen et al.2022.03	0.158	—	0.641	76.9	95	98.8
Roy et al.2022.04	0.187	0.078	0.744	—	—	—
Liu et al. [45]2022.04	0.213	0.087	0.759	65	90.6	97.4
Wang et al.2022.04	0.22	0.094	0.745	60.5	89	97
Li et al. [38]2022.04	0.232	0.094	0.821	62.1	88.6	96.8
Liu et al. [46]2022.04	0.335	0.127	1.06	—	—	—
Saxena et al.2022.04	0.349	—	1.214	44.7	74.5	89.7
Karsch et al.2022.04	0.349	0.131	1.21	—	—	—
Ladicky et al.2022.04	—	—	—	54.2	82.9	94.1