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Monocular Depth Estimation on ScanNet monocular variant 20 60-frame sequences

0.011OPWPoint-Based Fusion (Ours-DPT)
0.005040.045270.08550.12573Apr 15, 2023

Evaluation results

MethodLinks
Point-Based Fusion (Ours-DPT)N=1, temporal data structure=true, temporal consistency constraints=true2023.040.0110.010.8630.1790.6390.0520.210.5760.9740.9960.999
TCMDN=1, temporal data structure=false, temporal consistency constraints=true2023.040.0310.0310.6280.1660.5480.0830.30.8110.740.9270.981
DPTN=1, temporal data structure=false, temporal consistency constraints=false2023.040.0330.0330.540.1410.5360.0550.2130.5820.9710.9960.999
DeepV2DN=2, temporal data structure=false, temporal consistency constraints=false2023.040.0380.0380.4830.1430.4950.0580.1530.5020.9570.9950.999
N-RGB->DN=1, temporal data structure=true, temporal consistency constraints=false2023.040.0430.0420.5570.1690.4820.0880.2850.6740.8140.9520.983
ST-CLSTMN=5, temporal data structure=true, temporal consistency constraints=false2023.040.0870.0870.310.1340.40.0760.2890.7510.7720.9320.983
DemonN=2, temporal data structure=false, temporal consistency constraints=false2023.040.160.1590.1430.1070.2710.0980.2280.6510.8390.9510.982