| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| 3D Line Mapping | ScanNet++ 30 scenes 16 | Accuracy Line (ACC-L)0.1337 | 16 | |
| 3D line mapping | ScanNet++ 16 (30 scenes) | Recall@514.31 | 16 | |
| Semantic Segmentation | ScanNet++ (val) | mIoU52.9 | 16 | |
| TSDF Reconstruction | ScanNet++ | Accuracy15.67 | 15 | |
| Multi-view Camera Pose Estimation | ScanNet++ | RPA @ 5°2,270 | 14 | |
| 3D instance segmentation | ScanNet++ V1 (val) | AP5035.8 | 12 | |
| Video depth estimation | ScanNet++ | Absolute Relative Error4.4 | 10 | |
| 3D Semantic Segmentation | ScanNet++ 100 classes (test) | f-mIoU29.6 | 8 | |
| Semantic Segmentation | ScanNet++ | Average Accuracy (aAcc)84.9 | 8 | |
| Monocular Depth Estimation | ScanNet++ (val) | Relative Error (Rel)0.2169 | 8 | |
| Indoor Semantic Segmentation | ScanNet++ (val) | mIoU43.7 | 8 | |
| Class-Agnostic 3D Instance Segmentation | ScanNet++ 1554 classes 1.0 (val) | AP22.2 | 8 | |
| Class-agnostic 3D Instance Segmentation | ScanNet++ (test) | AP22.2 | 7 | |
| Sparse-view 3D reconstruction | ScanNet++ 102 | PSNR23.41 | 7 | |
| 3D Instance Segmentation | ScanNet++ V2 (test) | mAP32.4 | 7 | |
| 3D instance segmentation | ScanNet++ V1 (test) | mAP25.2 | 7 | |
| Depth Estimation | ScanNet++ (test) | AbsRel0.17 | 7 | |
| 3D Instance Segmentation | ScanNet++ V2 (val) | AP@5043.5 | 6 | |
| 3D Object Detection | ScanNet++ | mAP@0.2526.4 | 6 | |
| Semantic 3D Instance Segmentation | ScanNet++ (val) | AP25.3 | 6 | |
| 3D Semantic Segmentation | ScanNet++ 57 (val) | mIoU21.6 | 5 | |
| Video Object Segmentation | ScanNet++ (Whole Set) | IoU88.98 | 5 | |
| 3D Instance Segmentation | ScanNet++ (test) | mAP22.2 | 5 | |
| Open-Ended 3D Instance Segmentation | ScanNet++ 100-class subset (val) | AP20.1 | 5 | |
| Planar Reconstruction | ScanNet++ (test) | Geometry Chamfer9.33 | 5 |