| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Semantic Segmentation | KITTI-360 (val) | mIoU66.1 | 36 | |
| Pose estimation | KITTI-360 | RPE Translation (cm)2.003 | 29 | |
| Semantic Segmentation | KITTI-360 (test) | mIoU69.71 | 25 | |
| Ground Segmentation | KITTI-360 | Precision97.66 | 16 | |
| Point Cloud Completion | KITTI-360 | IoU44.11 | 15 | |
| 3D Semantic Occupancy Prediction | KITTI-360 (val) | IoU58.9 | 11 | |
| 3D Object Detection | KITTI-360 (val) | AP3D @ IoU=0.5, Class=Large26.77 | 11 | |
| Novel View Synthesis | KITTI-360 (val) | PSNR23.26 | 10 | |
| Object Reconstruction | KITTI-360 4-50m (long range evaluation) | Object Accuracy86 | 10 | |
| Object Reconstruction | KITTI-360 4-20m (short range evaluation) | Oacc92 | 10 | |
| Driving Scene Reconstruction | KITTI-360 | PSNR25.62 | 10 | |
| 3D Object Detection | KITTI-360 (test) | AP3D @ 50 IoU4.64 | 10 | |
| Monocular Depth Estimation | KITTI-360 (test) | RMSE2.04 | 9 | |
| Novel View Synthesis | KITTI-360 static (val) | PSNR23.36 | 9 | |
| Compositional Retrieval | KITTI-360 Full pool original & expansion compounds | F1 Score74.9 | 8 | |
| LiDAR Novel View Synthesis (Intensity) | KITTI-360 low-frequency setting (test) | RMSE0.1089 | 8 | |
| LiDAR Novel View Synthesis (Depth) | KITTI-360 low-frequency setting (test) | RMSE2.9514 | 8 | |
| Lidar-Camera Extrinsic Calibration | KITTI-360 SFL + SFR | Angular Error (deg)0.709 | 8 | |
| Unconditional LiDAR Generation | KITTI-360 19 | FRD138.62 | 8 | |
| Novel LiDAR View Synthesis | KITTI-360 | Point Cloud CD0.1089 | 8 | |
| Mono-view synthesis | KITTI-360 | PSNR25.62 | 8 | |
| Semantic Segmentation | KITTI-360 RGB-L (test) | mIoU66.1 | 8 | |
| 3D Semantic Scene Reconstruction | KITTI-360 (test) | IoU99.97 | 7 | |
| Occupancy Prediction | KITTI-360 | Occupancy Acc (Scene)94 | 7 | |
| LiDAR Depth Synthesis | KITTI-360 standard-frequency setting | RMSE1.8519 | 7 |