Object Classification on ModelNet10 (clean)
95.82Overall AccuracyGaussFusion
Evaluation results
| Method | Links | |
|---|---|---|
| GaussFusionInput=Gaussian, Pre-training Representation=3D Gaussian2026.07 | 95.82 | |
| PointASNLInput=xyz, Pre-training Representation=Point Cloud2026.07 | 95.7 | |
| A-CNNInput=xyz+normal, Pre-training Representation=Point Cloud2026.07 | 95.5 | |
| Gaussian-MAE†Input=Gaussian, Pre-training Representation=3D Gaussian, reproduced=true2026.07 | 95.37 | |
| DGCNNInput=xyz, Pre-training Representation=Point Cloud2026.07 | 95 | |
| PCNNInput=xyz, Pre-training Representation=Point Cloud2026.07 | 94.9 | |
| PointNetInput=xyz, Pre-training Representation=Point Cloud2026.07 | 94.4 | |
| PointNet++Input=xyz+normal, Pre-training Representation=Point Cloud2026.07 | 94.1 |