Real-world dataset
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Articulated Object Joint Estimation | Real world dataset Seen categories 1.0 (seen_objects) | Axis Orientation Error (°)13.88 | 12 | |
| Question Answering | Real-World Dataset A | Scenario 1 Score88.9 | 9 | |
| Image Deraining | Real-world dataset (test) | PSNR49 | 8 | |
| Articulated Object Joint Estimation | Real world dataset Unseen categories 1.0 | Axis Orientation Error (°)14.18 | 6 | |
| 4D scene generation | Real-world Dataset | PSNR22.53 | 4 | |
| Physical Simulation Realism | Real-world dataset (PhysDreamer, Instant-NGP, NeRFStudio, Mip-NeRF 360, etc.) (test) | Physical Realism3.44 | 4 | |
| 3D Human Pose Estimation | Real-world dataset (test) | PA-MPJPE (Upper Body)34 | 4 | |
| Egocentric Pose Estimation | Real-world dataset (test) | Ecam0.475 | 4 |
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