3D Shape Reconstruction on ShapeNet multi-class (test)
0.209CD2Few ‘Zero Level Set’-Shot Learning
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Few ‘Zero Level Set’-Shot LearningInput Points=300, Voxel Resolution=32^32022.07 | 0.209 | 74 | 0.07 | |
| OursInput Points=300, Resolution=32^32022.07 | 0.209 | 74 | 0.07 | |
| IF-NetsInput Points=300, Voxel Resolution=32^32022.07 | 0.232 | 67 | 0.091 | |
| IF-NetsInput Points=300, Resolution=32^32022.07 | 0.242 | 57 | 0.091 | |
| OccNetInput Points=300, Voxel Resolution=32^32022.07 | 0.3 | 73 | — | |
| DMCInput Points=300, Voxel Resolution=32^32022.07 | 0.3 | 58 | — | |
| OccNetInput Points=300, Resolution=32^32022.07 | 0.3 | 73 | — | |
| DMCInput Points=300, Resolution=32^32022.07 | 0.3 | 58 | — | |
| PSGNInput Points=300, Voxel Resolution=32^32022.07 | 0.4 | — | — | |
| PSGNInput Points=300, Resolution=32^32022.07 | 0.4 | — | — | |
| MetaSDFInput Points=3000, Voxel Resolution=32^32022.07 | 0.458 | 63 | 0.123 | |
| MetaSDF (3k pts)Input Points=3000, Resolution=32^32022.07 | 0.458 | 63 | 0.123 |