3D Object Reconstruction On Data3Dr2N2
Métriques
Avg F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Avg F1 |
|---|---|
| 3d-r2n2-a-unified-approach-for-single-and | 39.01 |
| pixel2mesh-generating-3d-mesh-models-from | 59.72 |
| matryoshka-networks-predicting-3d-geometry | - |
| 3d-r2n2-a-unified-approach-for-single-and | - |
| pix2vox-multi-scale-context-aware-3d-object | - |
| a-point-set-generation-network-for-3d-object | - |
| neural-3d-mesh-renderer | 33.80 |
| pix2vox-context-aware-3d-reconstruction-from | - |
| multi-view-silhouette-and-depth-decomposition | 66.39 |
| a-point-set-generation-network-for-3d-object | 48.58 |
| pix2vox-context-aware-3d-reconstruction-from | - |
| umiformer-mining-the-correlations-between | - |
| pix2vox-multi-scale-context-aware-3d-object | - |
| geometrics-exploiting-geometric-structure-for | 67.37 |
| long-range-grouping-transformer-for-multi | - |