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3D Reconstruction on ShapeNet (test)

0.042EMDTouch2Shape
-0.662284.091618.845513.59939Apr 5, 2018Jun 12, 2019Aug 19, 2020Oct 26, 2021Jan 3, 2023Mar 11, 2024May 19, 2025

Evaluation results

MethodLinks
Touch2Shape# Touches=20, Modality=Visual-Tactile2025.050.042———————————————————0.0330.0420.040.050.0450.045
Touch2Shape# Touches=10, Modality=Visual-Tactile2025.050.046———————————————————0.0340.0420.0450.0520.0560.046
Touch2Shape# Touches=1, Modality=Visual-Tactile2025.050.048———————————————————0.0360.0420.0460.0550.0590.048
Touch2Shape# Touches=20, Modality=Tactile only2025.050.053———————————————————0.0410.0490.0490.0560.0640.055
Touch2Shape# Touches=10, Modality=Tactile only2025.050.056———————————————————0.0420.050.0510.0580.0670.059
TouchSDF# Touches=20, Modality=Tactile only2025.050.081———————————————————0.0470.0660.0480.0920.1550.071
TouchSDF# Touches=10, Modality=Tactile only2025.050.112———————————————————0.0820.0720.0730.1010.1770.136
Touch2Shape# Touches=1, Modality=Tactile only2025.050.124———————————————————0.110.1180.1280.1320.1390.122
TouchSDF# Touches=1, Modality=Tactile only2025.050.136———————————————————0.1130.0910.0850.1310.1950.164
PSGCategory=plane2018.040.3960.43————————————————————————
PSGCategory=firearm2018.040.3970.423————————————————————————
TARSCategory=Car2022.050.4460.14—————————0.1410.1499.799.8199.75——————————
SDF-SRNCategory=Car2022.050.4520.142—————————0.1410.14499.7699.8499.8——————————
TARSCategory=Airplane2022.050.5330.173—————————0.1940.15298.7999.3499.06——————————
SDF-SRNCategory=Airplane2022.050.5760.173—————————0.1930.15498.5599.1198.83——————————
Pixel2MeshCategory=plane2018.040.5790.477————————————————————————
SoftRasCategory=Airplane2022.050.5880.211—————————0.2150.20798.7498.4298.58——————————
3D-R2N2Category=plane2018.040.6060.895————————————————————————
Pixel2MeshCategory=firearm2018.040.6670.453————————————————————————
3D-R2N2Category=firearm2018.040.6880.993————————————————————————
SoftRasCategory=Car2022.050.7230.337—————————0.3720.30293.0496.6294.8——————————
Pixel2MeshCategory=cellphone2018.040.7240.421————————————————————————
Pixel2MeshCategory=watercraft2018.040.8140.67————————————————————————
TARSCategory=Chair2022.050.8170.332—————————0.3530.31293.4395.3994.4——————————
SDF-SRNCategory=Chair2022.050.8540.333—————————0.3520.31594.1895.2194.69——————————
3D-R2N2Category=cellphone2018.040.9121.137————————————————————————
3D-R2N2Category=watercraft2018.040.9351.215————————————————————————
PSGCategory=watercraft2018.040.9450.633————————————————————————
Pixel2MeshCategory=bench2018.040.9650.624————————————————————————
SoftRasCategory=Chair2022.051.0170.523—————————0.5720.47582.5689.1885.74——————————
PSGCategory=cellphone2018.041.0190.438————————————————————————
PSGCategory=bench2018.041.1130.629————————————————————————
3D-R2N2Category=bench2018.041.1361.891————————————————————————
PSGCategory=lamp2018.041.2221.193————————————————————————
Pixel2MeshCategory=car2018.041.2970.268————————————————————————
Pixel2MeshCategory=lamp2018.041.3141.295————————————————————————
Pixel2MeshCategory=mean2018.041.380.591————————————————————————
Pixel2MeshCategory=chair2018.041.3990.61————————————————————————
3D-R2N2Category=lamp2018.041.4244.009————————————————————————
3D-R2N2Category=chair2018.041.4661.432————————————————————————
Pixel2MeshCategory=table2018.041.480.498————————————————————————
3D-R2N2Category=mean2018.041.5011.445————————————————————————
Pixel2MeshCategory=monitor2018.041.5360.755————————————————————————
3D-R2N2Category=table2018.041.6411.116————————————————————————
Pixel2MeshCategory=couch2018.041.6420.49————————————————————————
PSGCategory=mean2018.041.6530.593————————————————————————
3D-R2N2Category=monitor2018.041.6671.707————————————————————————
3D-R2N2Category=car2018.041.670.845————————————————————————
PSGCategory=car2018.041.7470.333————————————————————————
PSGCategory=monitor2018.041.8910.722————————————————————————
PSGCategory=chair2018.041.9460.645————————————————————————
3D-R2N2Category=couch2018.042.1141.135————————————————————————
PSGCategory=table2018.042.1210.517————————————————————————
PSGCategory=couch2018.042.2070.549————————————————————————
3D-R2N2Category=cabinet2018.042.520.735————————————————————————
Pixel2MeshCategory=cabinet2018.042.5630.381————————————————————————
3D-R2N2Category=speaker2018.042.7321.507————————————————————————
Pixel2MeshCategory=speaker2018.042.9510.739————————————————————————
PSGCategory=cabinet2018.042.9860.439————————————————————————
PSGCategory=speaker2018.043.490.756————————————————————————
N3MRCategory=plane2018.047.4980.45————————————————————————
N3MRCategory=watercraft2018.0411.4252.154————————————————————————
N3MRCategory=car2018.0411.6412.298————————————————————————
N3MRCategory=bench2018.0411.7662.268————————————————————————
N3MRCategory=chair2018.0411.8092.084————————————————————————
N3MRCategory=firearm2018.0411.8892.641————————————————————————
N3MRCategory=table2018.0412.8422.383————————————————————————
N3MRCategory=mean2018.0413.3862.629————————————————————————
N3MRCategory=monitor2018.0414.0973.111————————————————————————
N3MRCategory=lamp2018.0414.7413.013————————————————————————
N3MRCategory=couch2018.0414.8763.512————————————————————————
N3MRCategory=speaker2018.0416.723.343————————————————————————
N3MRCategory=cabinet2018.0417.0622.555————————————————————————
N3MRCategory=cellphone2018.0417.6494.366————————————————————————
3D43DCategory=plane, Number of views=5, w/ GT Pose=true2022.05——————0.736——0.0210.899———————————————
3DAttriFlowParams=20.92M, Infer time=0.117s2025.02———————————————————4.08——————
ALTOInput Points=3K2022.12——————0.930.952—0.30.98———————————————
ALTOInput Points=1K2022.12——————0.9050.94—0.350.964———————————————
ALTOInput Points=3002022.12——————0.8630.922—0.470.924———————————————
ALTO (Encoder Only)Input Points=3K2022.12——————0.9310.95—0.30.981———————————————
ALTO (Encoder Only)Input Points=1K2022.12——————0.8890.932—0.390.951———————————————
ALTO (Encoder Only)Input Points=3002022.12——————0.8420.908—0.520.903———————————————
AtlasNetAdjustment type=Linear, Training regime=Single-category2019.08——1.57———————————————————————
AtlasNetAdjustment type=MLP, Training regime=Single-category2019.08——0.91———————————————————————
AtlasNetAdjustment type=Linear, Training regime=Multi-category2019.08——2.22———————————————————————
AtlasNetAdjustment type=MLP, Training regime=Multi-category2019.08——0.81———————————————————————
AtlasNetAdjustment type=Linear, Training regime=Single-category2019.08——4.14———————————————————————
AtlasNetAdjustment type=MLP, Training regime=Single-category2019.08——1.64———————————————————————
AtlasNetAdjustment type=Linear, Training regime=Multi-category2019.08——3.72———————————————————————
AtlasNetAdjustment type=MLP, Training regime=Multi-category2019.08——1.5———————————————————————
BDM-BParams=49.71M, Infer time=7.602s2025.02———————————————————5.3——————
Classif.+DORefinement=Direct Optimization, Section=Top2021.01———1.8262.1921.144————————————————————
Classif.+DORefinement=No test-time refinement, Section=Bottom2021.01———3.1994.5181.661————————————————————
ConvObject Category=Chair, Input Points=10k, Noise std=0.0052023.11—————————0.41————————————————
ConvObject Category=Lamp, Input Points=10k, Noise std=0.0052023.11—————————0.47————————————————
ConvObject Category=Table, Input Points=10k, Noise std=0.0052023.11—————————0.35————————————————
ConvObject Category=Mean, Input Points=10k, Noise std=0.0052023.11—————————0.41————————————————
ConvInput points (Np)=10k, Noise level=0.005, training_input_size=3k2023.11———————0.94————————0.950.90.96———————
ConvONetPoint Cloud Noise=3k noisy pts2022.01—0.44————0.8840.9380.942—————————————————
ConvONetInput Points=3K2022.12——————0.8840.938—0.440.942———————————————