3D Surface Reconstruction Efficiency on ShapeNet 3k points
0.6Reconstruction TimeConvONet
Evaluation results
| Method | Links | |
|---|---|---|
| ConvONetMC variant=MC-refin, Grid size=128^32022.01 | 0.6 | |
| POCOMC variant=MC-regro, Grid size=128^32022.01 | 2.5 | |
| POCOMC variant=MC-refin, Grid size=128^32022.01 | 10.7 | |
| Neural SplinesMC variant=MC-refin, Grid size=128^32022.01 | 12.7 | |
| SPRMC variant=MC-refin, Grid size=128^32022.01 | 14.9 | |
| Points2SurfMC variant=MC-refin, Grid size=128^32022.01 | 38.4 | |
| LIGMC variant=MC-refin, Grid size=128^3, Iterations=3k2022.01 | 66.2 | |
| LIGMC variant=MC-refin, Grid size=128^3, Iterations=5k2022.01 | 104.5 | |
| SA-ConvONetMC variant=MC-refin, Grid size=128^32022.01 | 245.7 |