3D Point Cloud Generation on ShapeNet Airplane category (test)
98.41-NNA (CD, %)r-GAN
Evaluation results
| Method | Links | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| r-GANNormalization=Global2022.10 | 98.4 | — | — | — | — | — | — | — | — | 96.79 | — | — | — | — | |
| r-GAN2022.10 | 98.4 | — | — | — | — | 0.447 | 2.309 | 30.12 | 14.32 | 96.79 | — | — | — | — | |
| PC-GANFull parameters (M)=9.14, Generative parameters (M)=1.522019.06 | 94.35 | — | — | — | 4.63 | 0.287 | 3.57 | 36.46 | 40.94 | 92.32 | — | — | — | — | |
| PC-GAN2020.06 | 94.35 | — | — | — | — | — | — | — | — | 92.32 | — | — | — | — | |
| PC-GAN# Parameters (Full)=9.14M, # Parameters (Gen)=1.52M2021.03 | 94.35 | — | — | — | — | 0.287 | 3.57 | 36.46 | 40.94 | 92.32 | — | — | — | — | |
| r-GANFull parameters (M)=7.22, Generative parameters (M)=6.912019.06 | 93.58 | — | — | — | 7.44 | 0.261 | 5.47 | 42.72 | 18.02 | 99.51 | — | — | — | — | |
| l-GANNormalization=Global, Variant=EMD2022.10 | 89.49 | — | — | — | — | — | — | — | — | 76.91 | — | — | — | — | |
| l-GAN (EMD)2022.10 | 89.49 | — | — | — | — | 0.397 | 0.417 | 38.27 | 38.52 | 76.91 | — | — | — | — | |
| GCN-GAN2021.03 | 89.13 | — | — | — | 6.669 | 4.713 | 1.65 | 39.04 | 18.62 | 98.6 | — | — | — | — | |
| GCN-GAN2022.02 | 89.13 | — | — | — | 6.669 | 4.713 | 1.65 | — | — | 98.6 | 39.04 | 18.62 | — | — | |
| l-GAN (EMD)Full parameters (M)=1.97, Generative parameters (M)=1.712019.06 | 87.65 | — | — | — | 3.61 | 0.269 | 3.29 | 47.9 | 50.62 | 85.68 | — | — | — | — | |
| l-GAN (EMD)2020.06 | 87.65 | — | — | — | — | — | — | — | — | 85.68 | — | — | — | — | |
| l-GAN (EMD)# Parameters (Full)=1.97M, # Parameters (Gen)=1.71M2021.03 | 87.65 | — | — | — | — | 0.269 | 3.29 | 47.9 | 50.62 | 85.68 | — | — | — | — | |
| l-GANNormalization=Global, Variant=CD2022.10 | 87.3 | — | — | — | — | — | — | — | — | 93.95 | — | — | — | — | |
| l-GAN (CD)2022.10 | 87.3 | — | — | — | — | 0.34 | 0.583 | 38.52 | 21.23 | 93.95 | — | — | — | — | |
| l-GAN (CD)Full parameters (M)=1.97, Generative parameters (M)=1.712019.06 | 86.3 | — | — | — | 4.62 | 0.239 | 4.27 | 43.21 | 21.23 | 97.28 | — | — | — | — | |
| l-GAN (CD)# Parameters (Full)=1.97M, # Parameters (Gen)=1.71M2021.03 | 86.3 | — | — | — | — | 0.239 | 4.27 | 43.21 | 21.23 | 97.28 | — | — | — | — | |
| TreeGAN2021.03 | 83.86 | — | — | — | 15.646 | 4.323 | 1.953 | 39.37 | 8.4 | 99.67 | — | — | — | — | |
| TreeGAN2022.02 | 83.86 | — | — | — | 15.646 | 4.323 | 1.953 | — | — | 99.67 | 39.37 | 8.4 | — | — | |
| DPM2022.10 | 83.04 | — | — | — | — | 0.9191 | 1.3975 | 38.86 | 12.13 | 96.04 | — | — | — | — | |
| IM-GAN2022.10 | 79.7 | — | — | — | — | 0.9047 | 0.8205 | 45.54 | 40.1 | 77.85 | — | — | — | — | |
| PC-GAN2021.03 | 77.59 | — | — | — | 6.188 | 3.819 | 1.81 | 42.17 | 13.84 | 98.52 | — | — | — | — | |
| PC-GAN2022.02 | 77.59 | — | — | — | 6.188 | 3.819 | 1.81 | — | — | 98.52 | 42.17 | 13.84 | — | — | |
| SetVAENormalization=Global2022.10 | 76.54 | — | — | — | — | — | — | — | — | 67.65 | — | — | — | — | |
| SetVAE2022.10 | 76.54 | — | — | — | — | 0.2 | 0.367 | 43.7 | 48.4 | 67.65 | — | — | — | — | |
| DPMNormalization=Global2022.10 | 76.42 | — | — | — | — | — | — | — | — | 86.91 | — | — | — | — | |
| DPM2022.10 | 76.42 | — | — | — | — | 0.213 | 0.572 | 48.64 | 33.83 | 86.91 | — | — | — | — | |
| SoftFlowNormalization=Global2022.10 | 76.05 | — | — | — | — | — | — | — | — | 65.8 | — | — | — | — | |
| SoftFlow2022.10 | 76.05 | — | — | — | — | 0.231 | 0.375 | 46.91 | 47.9 | 65.8 | — | — | — | — | |
| PointFlowFull parameters (M)=1.61, Generative parameters (M)=1.062019.06 | 75.68 | — | — | — | 4.92 | 0.217 | 3.24 | 46.91 | 48.4 | 75.06 | — | — | — | — | |
| PointFlow2020.06 | 75.68 | — | — | — | — | — | — | — | — | 75.06 | — | — | — | — | |
| PointFlow# Parameters (Full)=1.61M, # Parameters (Gen)=1.06M2021.03 | 75.68 | — | — | — | — | 0.217 | 3.24 | 46.91 | 48.4 | 75.06 | — | — | — | — | |
| PointFlowNormalization=Global2022.10 | 75.68 | — | — | — | — | — | — | — | — | 70.74 | — | — | — | — | |
| PointFlow2022.10 | 75.68 | — | — | — | — | 0.224 | 0.39 | 47.9 | 46.41 | 70.74 | — | — | — | — | |
| SetVAE# Parameters (Full)=0.75M, # Parameters (Gen)=0.39M2021.03 | 75.31 | — | — | — | — | 0.199 | 3.07 | 43.45 | 44.93 | 77.65 | — | — | — | — | |
| DPF-NetNormalization=Global2022.10 | 75.18 | — | — | — | — | — | — | — | — | 65.55 | — | — | — | — | |
| DPF-Net2022.10 | 75.18 | — | — | — | — | 0.264 | 0.409 | 46.17 | 48.89 | 65.55 | — | — | — | — | |
| PVDNormalization=Global2022.10 | 73.82 | — | — | — | — | — | — | — | — | 64.81 | — | — | — | — | |
| PVD2022.10 | 73.82 | — | — | — | — | 0.224 | 0.37 | 48.88 | 52.09 | 64.81 | — | — | — | — | |
| SoftPointFlow2020.06 | 70.92 | — | — | — | — | — | — | — | — | 69.44 | — | — | — | — | |
| Training set2019.06 | 70.62 | — | — | — | 6.61 | 0.226 | 3.08 | 42.72 | 49.14 | 67.53 | — | — | — | — | |
| Training set2021.03 | 70.62 | — | — | — | — | 0.226 | 3.08 | 42.72 | 49.14 | 67.53 | — | — | — | — | |
| SnowflakeNet2022.02 | 69.35 | — | — | — | 1.63 | 3.271 | 1.002 | — | — | 73.15 | 46.29 | 44.98 | — | — | |
| LIONNormalization=Global2022.10 | 67.41 | — | — | — | — | — | — | — | — | 61.23 | — | — | — | — | |
| LION2022.10 | 67.41 | — | — | — | — | 0.219 | 0.372 | 47.16 | 49.63 | 61.23 | — | — | — | — | |
| PVD2022.10 | 66.46 | — | — | — | — | 0.8513 | 0.7198 | 47.52 | 51.73 | 56.06 | — | — | — | — | |
| PointFlow2021.03 | 66.39 | — | — | — | 1.536 | 3.688 | 1.09 | 44.98 | 44.65 | 69.36 | — | — | — | — | |
| PointFlow2022.02 | 66.39 | — | — | — | 1.536 | 3.688 | 1.09 | — | — | 69.36 | 44.98 | 44.65 | — | — | |
| Diffusion Probabilistic Models for 3D Point Cloud Generation2021.03 | 64.83 | — | — | — | 1.067 | 3.276 | 1.061 | 48.71 | 45.47 | 75.12 | — | — | — | — | |
| DPM2022.02 | 64.83 | — | — | — | 1.067 | 3.276 | 1.061 | — | — | 75.12 | 48.71 | 45.47 | — | — | |
| ShapeGF2021.03 | 61.94 | — | — | — | 1.059 | 3.306 | 1.027 | 50.41 | 47.12 | 70.51 | — | — | — | — | |
| ShapeGF2022.02 | 61.94 | — | — | — | 1.059 | 3.306 | 1.027 | — | — | 70.51 | 50.41 | 47.12 | — | — | |
| LION2022.10 | 53.47 | — | — | — | — | 0.8317 | 0.6964 | 53.47 | 53.96 | 53.84 | — | — | — | — | |
| train set2022.10 | 50.87 | — | — | — | — | 0.8462 | 0.6968 | 52.48 | 53.47 | 50.99 | — | — | — | — | |
| Traintype=Oracle/Ground Truth reference2021.03 | 48.85 | — | — | — | 0.809 | 3.917 | 1.003 | 51.73 | 54.04 | 50.82 | — | — | — | — | |
| BridgeSteps=102022.09 | — | — | — | — | — | 3.44 | 1.24 | — | — | — | 46.9 | 43.46 | — | — | |
| BridgeSteps=1002022.09 | — | — | — | — | — | 3.37 | 1.08 | — | — | — | 47.11 | 46.17 | — | — | |
| Bridge + RieszSteps=102022.09 | — | — | — | — | — | 3.39 | 1.2 | — | — | — | 47.11 | 43.12 | — | — | |
| Bridge + RieszSteps=1002022.09 | — | — | — | — | — | 3.24 | 1.09 | — | — | — | 48.62 | 46.23 | — | — | |
| Bridge + StatisticSteps=102022.09 | — | — | — | — | — | 3.3 | 1.12 | — | — | — | 47.02 | 44.67 | — | — | |
| Bridge + StatisticSteps=1002022.09 | — | — | — | — | — | 3.24 | 1.06 | — | — | — | 48.53 | 46.73 | — | — | |
| DiffFacto2025.05 | — | 68.72 | 46.2 | 3.2 | — | — | — | — | — | — | — | — | — | — | |
| DiffFacto2025.05 | — | 81.67 | 32.26 | 0.0072 | — | — | — | — | — | — | — | — | — | — | |
| DiffusionSteps=102022.09 | — | — | — | — | — | 3.71 | 1.31 | — | — | — | 43.12 | 39.94 | — | — | |
| DiffusionSteps=1002022.09 | — | — | — | — | — | 3.28 | 1.04 | — | — | — | 48.74 | 46.38 | — | — | |
| LionBackbone=PointNet++2025.05 | — | 68.48 | 39 | 0.0059 | — | — | — | — | — | — | — | — | — | — | |
| LionBackbone=SPoTr2025.05 | — | 67.13 | 42.71 | 0.0067 | — | — | — | — | — | — | — | — | — | — | |
| Lion & PointNet++2025.05 | — | 68.73 | 38.8 | 3.68 | — | — | — | — | — | — | — | — | — | — | |
| Lumina-Next2024.06 | — | — | — | — | — | — | — | — | — | — | — | — | 3.371 | 49.21 | |
| PC-GAN2024.06 | — | — | — | — | — | — | — | — | — | — | — | — | 3.819 | 42.17 | |
| PDiffusion2024.06 | — | — | — | — | — | — | — | — | — | — | — | — | 3.276 | 48.71 | |
| PointFlow2024.06 | — | — | — | — | — | — | — | — | — | — | — | — | 3.688 | 44.98 | |
| SeaLion2025.05 | — | 68.39 | 44.9 | 3.45 | — | — | — | — | — | — | — | — | — | — | |
| SeaLion2025.05 | — | 65.4 | 47.51 | 0.0064 | — | — | — | — | — | — | — | — | — | — | |
| ShapeGF2024.06 | — | — | — | — | — | — | — | — | — | — | — | — | 3.306 | 50.41 | |
| TreeGAN2024.06 | — | — | — | — | — | — | — | — | — | — | — | — | 4.323 | 39.37 |