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3D Surface Reconstruction on ShapeNet 12 (test)

0.29CD1Ours
0.1021.3712.643.909Nov 20, 2023

Evaluation results

MethodLinks
Oursdenoising=true, number of parameters=6.5M2023.110.290.150.950.99
POCOnumber of parameters=12.5M2023.110.30.310.950.98
Ours w/o den.denoising=false, number of parameters=6.5M2023.110.320.250.940.98
SAPnumber of parameters=2M2023.110.340.60.940.97
ConvONetnumber of parameters=2M2023.110.44—0.940.94
Mixing-Denoising Generalizable Occupancy NetworksDenoising=true, Input Points=300, Noise Level (σ)=0.0052023.110.540.940.90.89
SAPnumber of parameters=2M2023.110.550.950.910.89
Oursdenoising=true, number of parameters=6.5M2023.110.550.930.910.89
Mixing-Denoising Generalizable Occupancy NetworksDenoising=false, Input Points=300, Noise Level (σ)=0.0052023.110.550.920.890.89
POCOnumber of parameters=12.5M2023.110.581.240.90.88
Ours w/o den.denoising=false, number of parameters=6.5M2023.110.580.980.90.87
SAPInput Points=300, Noise Level (σ)=0.0052023.110.581.040.890.87
POCOInput Points=300, Noise Level (σ)=0.0052023.110.591.540.880.88
ConvONetnumber of parameters=2M2023.110.66—0.910.85
AtlasNet2023.110.93—0.850.71
Mixing-Denoising Generalizable Occupancy NetworksDenoising=true, Input Points=300, Noise Level (σ)=0.0252023.1113.490.850.69
SAPInput Points=300, Noise Level (σ)=0.0252023.111.023.50.850.69
Mixing-Denoising Generalizable Occupancy NetworksDenoising=false, Input Points=300, Noise Level (σ)=0.0252023.111.053.560.840.66
POCOInput Points=300, Noise Level (σ)=0.0252023.111.14.40.830.66
AtlasNet2023.111.17—0.820.53
3D-R2N22023.111.72—0.710.4
3D-R2N22023.111.72—0.710.42
SPR2023.112.98—0.770.61
SPR2023.114.99—0.60.32