3D Reconstruction On Shapenet
Metrics
Chamfer Distance
IoU
Results
Performance results of various models on this benchmark
Model Name | Chamfer Distance | IoU | Paper Title | Repository |
|---|---|---|---|---|
| DP-ConvONet | 0.42 | 89.5 | Dynamic Plane Convolutional Occupancy Networks | - |
| ONet | 0.87 | 76.1 | Dynamic Plane Convolutional Occupancy Networks | - |
| FS-SDF | 0.28 | 91.2 | Few 'Zero Level Set'-Shot Learning of Shape Signed Distance Functions in Feature Space | |
| MD-GON | 0.29 | 92.8 | Mixing-Denoising Generalizable Occupancy Networks | - |
| POCO | 0.3 | 92.6 | POCO: Point Convolution for Surface Reconstruction | |
| EVolT | - | 73.8 | Multi-view 3D Reconstruction with Transformer | - |
| ConvONet | 0.45 | 88.4 | Dynamic Plane Convolutional Occupancy Networks | - |
| ZubicLio | - | 65.43 | An Effective Loss Function for Generating 3D Models from Single 2D Image without Rendering |
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