ShapeNetCore
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Keypoint Detection | ShapeNetCore V2 (test) | DAS93.4 | 56 | |
| Single-image 3D Reconstruction | ShapeNetCore (test) | mIoU68.8 | 11 | |
| Single-view 3D object reconstruction | ShapeNetCore (Unseen categories) | mIoU0.386 | 8 | |
| Base-to-new class generalization | ShapeNetCore V2 (test) | Base Score93.03 | 6 | |
| 3D Point Cloud Classification | ShapeNetCore V2 (test) | Base Accuracy93.03 | 6 | |
| Point cloud reconstruction | ShapeNetCore13 v1 (test) | Chamfer Distance (CD)0.85 | 5 | |
| Class-conditioned 3D Shape Generation | ShapeNetCore table V2 (test) | FPD0.47 | 4 | |
| Class-conditioned 3D Shape Generation | ShapeNetCore chair V2 (test) | FPD0.52 | 4 | |
| Class-conditioned 3D Shape Generation | ShapeNetCore airplane V2 (test) | FPD0.44 | 4 | |
| 3D shape retrieval | ShapeNetCore perturbed SHREC'16 (test) | Micro Precision@N0.678 | 4 | |
| Class-conditioned 3D Shape Generation | ShapeNetCore sofa V2 (test) | FPD0.63 | 3 | |
| Class-conditioned 3D Shape Generation | ShapeNetCore car V2 (test) | FPD0.46 | 3 | |
| View Reconstruction | ShapeNetCore 12 categories v2 (test) | MSE0.0069 | 3 | |
| 3D shape retrieval | ShapeNetCore normal SHREC'16 (test) | Micro Precision@N0.77 | 3 | |
| Shape Classification | ShapeNetCore55 SHREC2017 (test) | Accuracy82.97 | 2 | |
| 3D Point Cloud Classification | ShapeNetCore base-to-new V2 | Base Accuracy- | 0 | |
| 3D Point Cloud Classification | ShapeNetCore V2 | Base Accuracy- | 0 |
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