3D Object Reconstruction On Data3Dr2N2
평가 지표
Avg F1
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | 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 | - |