Point Cloud Upsampling on PU-GAN Synthetic (test)
0.082CDPUDM
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| PUDMUpsampling Rate=16x2023.12 | 0.082 | 1.12 | 2.114 | — | — | |
| Grad-PUUpsampling Rate=16x2023.12 | 0.108 | 2.352 | 2.127 | — | — | |
| NePSUpsampling Rate=16x2023.12 | 0.152 | 4.91 | 2.198 | — | — | |
| PU-GCNUpsampling Rate=16x2023.12 | 0.161 | 4.283 | 2.632 | — | — | |
| Dis-PUUpsampling Rate=16x2023.12 | 0.167 | 4.923 | 2.261 | — | — | |
| PU-EVAUpsampling Rate=16x2023.12 | 0.185 | 5.273 | 2.972 | — | — | |
| Dis-PUUpsampling Rate=16x, Size=13.2M2021.06 | 0.199 | 4.716 | 4.249 | — | — | |
| PU-GANUpsampling Rate=16x2023.12 | 0.207 | 6.963 | 2.556 | — | — | |
| MPUUpsampling Rate=16x2023.12 | 0.219 | 7.054 | 3.085 | — | — | |
| PU-MFA#Params(M)=2.1722022.08 | 0.2326 | 1.094 | 2.545 | — | — | |
| PU-Transformer#Params(M)=2.2022022.08 | 0.2671 | 3.112 | 4.202 | — | — | |
| PU-GANUpsampling Rate=16x, Size=9.57M2021.06 | 0.269 | 7.127 | 6.306 | — | — | |
| Dis-PU#Params(M)=2.1152022.08 | 0.2703 | 5.501 | 4.346 | — | — | |
| PU-EVA#Params(M)=2.1982022.08 | 0.2969 | 4.839 | 5.103 | — | — | |
| Dis-PUUpsampling Rate=4x, Size=13.2M2021.06 | 0.315 | 4.201 | 4.149 | — | — | |
| MPUUpsampling Rate=16x, Size=92.5M2021.06 | 0.348 | 7.187 | 6.822 | — | — | |
| PU-GANUpsampling Rate=4x, Size=9.57M2021.06 | 0.483 | 5.323 | 5.053 | — | — | |
| PU-MFA#Params(M)=2.1722022.08 | 0.501 | 5.414 | 9.111 | — | — | |
| PU-NetUpsampling Rate=16x2023.12 | 0.51 | 8.206 | 6.041 | — | — | |
| MPUUpsampling Rate=4x, Size=23.1M2021.06 | 0.632 | 6.998 | 6.199 | — | — | |
| PU-NetUpsampling Rate=16x, Size=24.5M2021.06 | 0.699 | 8.594 | 11.619 | — | — | |
| PU-NetUpsampling Rate=4x, Size=10.1M2021.06 | 0.844 | 7.061 | 9.431 | — | — | |
| PU-EVA#Params(M)=2.1982022.08 | 0.8662 | 14.54 | 15.54 | — | — | |
| PU-Transformer#Params(M)=2.2022022.08 | 1.034 | 21.61 | 17.56 | — | — | |
| Dis-PU#Params(M)=2.1152022.08 | 1.341 | 28.47 | 20.68 | — | — | |
| Neural PointsFactor=16x2021.12 | 3.35 | 6.52 | 1.49 | — | — | |
| MAFUFactor=16x2021.12 | 3.51 | 7.2 | 1.9 | — | — | |
| PUGeo-NetFactor=16x2021.12 | 3.58 | 7.14 | 1.94 | — | — | |
| Neural PointsFactor=4x2021.12 | 8.17 | 3.08 | 1.59 | — | — | |
| MAFUFactor=4x2021.12 | 11.18 | 3.74 | 2.09 | — | — | |
| PUGeo-NetFactor=4x2021.12 | 11.26 | 3.54 | 2.14 | — | — | |
| PU-GCNFactor=16x2021.12 | 11.37 | 12.69 | 6.95 | — | — | |
| PU-GANFactor=16x2021.12 | 11.89 | 10.81 | 7.48 | — | — | |
| Dis-PUFactor=16x2021.12 | 12.75 | 13.65 | 8.09 | — | — | |
| Dis-PUFactor=4x2021.12 | 13.79 | 11.83 | 7.14 | — | — | |
| PU-GCNFactor=4x2021.12 | 14.74 | 11.97 | 6.36 | — | — | |
| PU-GANFactor=4x2021.12 | 16.79 | 9.36 | 7.04 | — | — | |
| PU-NetFactor=16x2021.12 | 20.7 | 15.49 | 12.16 | — | — | |
| PU-NetFactor=4x2021.12 | 23.61 | 13.91 | 10.02 | — | — | |
| EAR2022.02 | — | — | — | 0.52 | 7.37 | |
| MPU2022.02 | — | — | — | 0.49 | 6.11 | |
| PMP-Net++2022.02 | — | — | — | 0.26 | 4.63 | |
| PU-GAN2022.02 | — | — | — | 0.28 | 4.64 | |
| PU-Net2022.02 | — | — | — | 0.72 | 8.94 |