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Point Cloud Completion on ShapeNet (test)

0.176EMD (Airplane)SpareNet
0.0570.860251.66352.46675Jun 6, 2020Apr 25, 2021Mar 14, 2022Jan 31, 2023Dec 20, 2023Nov 7, 2024Sep 26, 2025

Evaluation results

MethodLinks
SpareNetmetric_scale=CD x 10^32021.030.176————————————0.6640.3620.6160.6310.7890.4980.3840.515—————————
MSNmetric_scale=CD x 10^32021.030.252————————————0.9740.4450.770.9331.1520.6690.4910.711—————————
GRNetmetric_scale=CD x 10^32021.030.293————————————0.560.3630.5830.690.9350.5320.3890.543—————————
AtlasNetmetric_scale=CD x 10^32021.030.301————————————0.9670.440.8581.1261.1740.8130.6390.79—————————
PointFCAEmetric_scale=CD x 10^32021.030.34————————————1.170.481.242.2941.3121.4330.8931.145—————————
OT-MF3DST (s)=0.03, Steps (N)=12025.090.51—————————————1.41.71——————————————
PCN*metric_scale=CD x 10^3, training_set_size=1/8 of original2021.030.559————————————0.3890.5810.4660.6840.2630.1560.3950.437—————————
FoldingNetmetric_scale=CD x 10^32021.030.622————————————1.6080.6191.5532.0251.5431.5340.911.302—————————
PSFST (s)=0.04, Steps (N)=12025.091.004—————————————2.1942.937——————————————
PVDST (s)=29.98, Steps (N)=10002025.091.03—————————————2.1462.939——————————————
DPF-NetST (s)=0.342025.091.105—————————————2.3183.32——————————————
SpareNet2021.031.131————————————2.0141.7832.052.0632.3331.7291.791.862—————————
PointFlowST (s)=0.272025.091.18—————————————2.8513.649——————————————
SoftFlowST (s)=0.122025.091.198—————————————2.7893.295——————————————
AtlasNet2021.031.324————————————2.5822.0852.4422.7182.8292.162.1142.282—————————
MSN2021.031.334————————————2.2512.0622.3462.4492.7121.9772.0012.142—————————
GRNet2021.031.376————————————2.1281.9182.1272.152.4681.8521.8761.987—————————
PCNMetric Scaling=CD x 10^4, L2 Norm Points=16,3842020.061.4————————————4.452.4454.8386.2385.1293.5694.0624.016—————————
GRNetMetric Scaling=CD x 10^4, L2 Norm Points=16,3842020.061.531————————————3.622.7522.9452.6493.6132.5522.1222.723—————————
MSNMetric Scaling=CD x 10^4, L2 Norm Points=16,3842020.061.543————————————7.2494.7114.5396.4795.8943.7973.8534.758—————————
PointFCAE2021.031.554————————————2.6312.1322.9544.0672.9972.8992.6192.732—————————
FoldingNet2021.031.682————————————2.5762.1832.8473.0623.0032.52.3572.526—————————
AtlasNetMetric Scaling=CD x 10^4, L2 Norm Points=16,3842020.061.753————————————5.1013.2375.2266.3425.994.3594.1774.523—————————
TopNetMetric Scaling=CD x 10^4, L2 Norm Points=16,3842020.062.152————————————5.6233.5136.3467.5026.9494.7844.3595.154—————————
PCNtraining_set=fully sized ShapeNet (8x larger)2021.032.426————————————1.8882.7442.22.3832.0621.2422.2082.144—————————
FoldingNetMetric Scaling=CD x 10^4, L2 Norm Points=16,3842020.063.151————————————7.9434.6769.2259.2348.8956.6917.3257.142—————————
[37]→[72]→[47]type=SOTA Combination2025.03—0.4622.1242.3——————————————————————————
[37]→[72]→[47]type=SOTA Combination2025.03—0.5092.7138.2——————————————————————————
3D-EPNResolution=32x32x322019.09———————73.9—83.477.2—75.8—————————————————
3D-RecAEResolution=64x64x642019.09———————73.6—83.275—73.3—————————————————
3D-RecGANResolution=64x64x642019.09———————74.1—84.477—74.5—————————————————
AdaPoinTr2025.03—0.4622.1242.3——————————————————————————
AtlasNet2020.06————84.555.26355.256.5506662.461.6—————————————————
AtlasNet2020.06————6.36611.94310.10512.06312.36912.9910.33110.60710.847—————————————————
AtlasNet2021.03—————————————————————0.5122.5360.7061.1812.2952.461.812.4751.747
FoldingNet2020.06————64.223.738.223.621.919.736.129.932.2—————————————————
FoldingNet2020.06————9.49115.79612.61115.54516.41315.96913.64914.98714.308—————————————————
FoldingNet2021.03—————————————————————1.5935.9180.6491.3554.3442.42.2435.5083.001
ForkNetResolution=64x64x64, scene consistency=true2019.09———————80.6—92.484—79.1—————————————————
ForkNetResolution=64x64x64, scene consistency=false2019.09———————76.4—87.581.2—76.3—————————————————
GRNet2020.06————84.361.868.267.376.160.575.17570.8—————————————————
GRNet2020.06————6.4510.3739.4479.4087.95510.5128.4448.0398.828—————————————————
GRNet2021.03—————————————————————4.6491.0021.1521.7122.9772.7171.7135.5282.681
Han et al.Resolution=64x64x642019.09———————46.9—48.356—54.4—————————————————
LiDiff2025.03—0.4842.4340.1——————————————————————————
MSN2020.06————88.564.466.565.769.960.478.270.870.5—————————————————
MSN2020.06————5.59611.96310.77610.6210.71211.8958.7049.4859.969—————————————————
MSN2021.03—————————————————————0.3241.8580.4120.9681.6522.4090.9170.7441.161
PCN2020.06————88.165.172.562.563.858.176.569.769.5—————————————————
PCN2020.06————5.50210.6258.69610.99811.33911.6768.599.6659.636—————————————————
PCNTraining data scale=8x2021.03—————————————————————0.4841.2210.21.4170.9471.680.5660.9260.93
PointFCAE2021.03—————————————————————1.4243.8780.5192.4046.9892.5942.6738.9983.683
SpareNet2021.03—————————————————————0.3070.6910.1421.1130.7740.9450.6680.5230.645
SuperPC2025.03—0.3871.6755.7——————————————————————————
SuperPC2025.03—0.4762.2140.9——————————————————————————
TopNet2020.06————77.140.454.441.340.83557.25650.3—————————————————
TopNet2020.06————7.61413.31110.89813.82314.43914.77911.22411.12412.151—————————————————
Varley et al.Resolution=32x32x322019.09———————61.9—81.867.8—65.3—————————————————