| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| KITTI-360 (test) | SuperPC | DCD0.327 | 7 | 4d ago | |
| TartanAir (test) | SuperPC | DCD0.298 | 7 | 4d ago | |
| ShapeNet (test) | DCD0.28 | 7 | 4d ago | ||
| Bunny point cloud 10% random and 3% dense noise conditions | Adaptive Dual-Weighted Gravitational Point Cloud Denoising Method | Precision98.88 | 4 | 4d ago | |
| Bunny Point Cloud 5% random noise | Adaptive Dual-Weighted Gravitational Point Cloud Denoising Method | Precision99.47 | 4 | 4d ago | |
| Stanford Bunny 10% random noise | Precision99.73 | 4 | 4d ago | ||
| Laboratory-acquired RUBY PLUS LiDAR dataset 100m range | Adaptive Dual-Weighted Gravitational Point Cloud Denoising Method | Precision99.89 | 2 | 4d ago | |
| Laboratory-acquired RUBY PLUS LiDAR dataset 50m range | Adaptive Dual-Weighted Gravitational Point Cloud Denoising Method | Precision99.76 | 2 | 4d ago | |
| CADC real-scene | Adaptive Dual-Weighted Gravitational Point Cloud Denoising Method | Precision0.99 | 2 | 4d ago | |
| KITTI-360 Sim-to-Real (test) | SuperPC | DCD0.552 | 2 | 4d ago | |
| TartanAir Object-to-Scene (test) | SuperPC | DCD0.333 | 2 | 4d ago |
