| ModelNet40 (test) | PointGPT | OA94.9 | | 255 | 4d ago |
| ModelNet40 | MOST | Accuracy94.7 | | 85 | 4d ago |
| ScanObjectNN (PB_T50_RS) | GPSFormer | OA95.4 | | 72 | 4d ago |
| ALAN (test) | NeAR (S+A) | AUC0.9111 | | 30 | 4d ago |
| ReducedMN40 (test) | PointWOLF | Overall Accuracy89.3 | | 15 | 4d ago |
| ModelNet40 1.0 (test) | VRN Ensemble | OA95.5 | | 15 | 4d ago |
| SHREC-11 30-class | GLNO | Accuracy99.7 | | 14 | 4d ago |
| ScanObjectNN | PointConT | OA90.3 | | 14 | 4d ago |
| ScanObjectNN (SONN) PB_T50_RS (test) | SPoTr | OA88.6 | | 14 | 4d ago |
| ScanObjectNN PB | MaskPoint | OA84.6 | | 11 | 4d ago |
| ScanObjectNN OBJ_ONLY (test) | PointWOLF | Overall Accuracy89.7 | | 10 | 4d ago |
| ModelNet-R (test) | PointMLP | Accuracy95.3 | | 9 | 4d ago |
| ScanObjectNN OBJ | MaskPoint | Overall Accuracy89.7 | | 9 | 4d ago |
| ModelNet40 Rotated (test) | Ours | Accuracy0.883 | | 9 | 4d ago |
| ScanObjectNN OBJ-ONLY | DGCNN | Accuracy86.2 | | 7 | 4d ago |
| FAUST 1000 | SQW | Accuracy42.7 | | 5 | 4d ago |
| FAUST 500 | SQW | Accuracy38.6 | | 5 | 4d ago |
| Animals | | Accuracy100 | | 5 | 4d ago |
| 2D shapes | | Accuracy1 | | 5 | 4d ago |
| MNIST 2000 | | Accuracy88.7 | | 4 | 4d ago |
| Structured Report Generation dataset | PASTA | Accuracy84.9 | | 4 | 4d ago |
| ModelNet40 level 5 resolution (test) | Jiang et al. | Accuracy90.5 | | 4 | 4d ago |
| Corn Kernel (test) | CornViT | Accuracy94.11 | | 3 | 4d ago |
| ShapeNetCore55 SHREC2017 (test) | VIP-GAN | Accuracy82.97 | | 2 | 4d ago |