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Point Cloud Generation on ShapeNet Car

48.241-NNA (CD)DiT-3D
46.391258.870671.3583.8294Dec 4, 2022Jun 7, 2023Dec 10, 2023Jun 13, 2024Dec 15, 2024Jun 19, 2025Dec 22, 2025

Evaluation results

MethodLinks
DiT-3D2023.0748.2449.355056.38
ConTiCoM-3DST (s)=0.22, N=12025.0953.351.4——
LION2023.0753.4151.145056.53
LION2025.1253.4151.14——
LIONST (s)=27.09, N=10002025.0953.4151.14——
PVDSampling Time (s)=29.9, Sampling steps (N)=10002022.1254.5553.83——
PVD2023.0754.5553.8341.1950.56
PVD2025.1254.5553.83——
PVDST (s)=29.9, N=10002025.0954.5553.83——
PSFSampling Time (s)=0.042022.1257.1956.07——
PSFST (s)=0.042025.0957.1956.07——
PointFlowSampling Time (s)=0.272022.1258.156.25——
PointFlow2023.0758.156.2546.8850
PointFlowST (s)=0.272025.0958.156.25——
SetVAESampling Time (s)=0.032022.1259.6661.48——
NSOTN=10002025.0959.6653.55——
SetVAEST (s)=0.032025.0959.6661.48——
SetVAE2023.0759.9459.9449.1546.59
OT-MF3DST (s)=<0.04, N=12025.0960.7954.54——
PVD-DDIMSampling Time (s)=3.15, Sampling steps (N)=1002022.1260.9559.35——
PVD-DDIMST (s)=3.15, N=1002025.0960.9559.35——
S-LIONsymmetry_aware=true2025.1261.7155.35——
DPF-NetSampling Time (s)=0.332022.1262.3554.48——
DPF-Net2023.0762.3554.4845.7449.43
DPF-NetST (s)=0.332025.0962.3554.48——
ShapeGFSampling Time (s)=0.342022.1263.256.53——
ShapeGFST (s)=0.342025.0963.256.53——
SoftFlowSampling Time (s)=0.122022.1264.7760.09——
SoftFlow2023.0764.7760.0942.944.6
SoftFlowST (s)=0.122025.0964.7760.09——
1-GANSampling Time (s)=0.032022.1266.4988.78——
l-GANOptimization Metric=CD2023.0766.4988.7838.9223.58
1-GANST (s)=0.032025.0966.4988.78——
DPMSampling Time (s)=22.82022.1268.8979.97——
DPM2023.0768.8979.9744.0334.94
DPMST (s)=22.82025.0968.8979.97——
S-PVDsymmetry_aware=true2025.1269.1762.07——
l-GANOptimization Metric=EMD2023.0771.1666.1937.7845.17
GET3D2023.0775.2672.4915.0418.38
MeshDiffusion2023.0781.4387.8434.0725.85
r-GAN2023.0794.4699.0119.036.539