Research map / 3D vision / Face and shape
MeshNet: Mesh Neural Network for 3D Shape Representation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use MeshNet on mesh data instead of the strongest listed baseline, Kd-Net | ModelNet40 classification · ModelNet40 | Accuracy (%): 91.8 -> 91.9 | Helped |
| Use MeshNet instead of MVCNN | ModelNet40 retrieval · ModelNet40 | mAP (%): 79.5 -> 81.9 | Helped |
| Add the spatial descriptor and spatial feature (ablation) | MeshNet · ModelNet40 | Accuracy (%): 83.5 -> 91.9 | Helped |
| Add the face rotate convolution to the spatial-only configuration (ablation) | MeshNet · ModelNet40 | Accuracy (%): 88.2 -> 89.9 | Helped |
| Add face kernel correlation to the spatial-only configuration (ablation) | MeshNet · ModelNet40 | Accuracy (%): 88.2 -> 87.0 | Hurt |
| Add mesh convolution to the configuration with both structural descriptors (ablation) | MeshNet · ModelNet40 | Accuracy (%): 90.4 -> 91.9 | Helped |
| Replace concatenation aggregation with average pooling (ablation) | MeshNet · ModelNet40 | Accuracy (%): 91.9 -> 90.7 | Hurt |
| Replace concatenation aggregation with max pooling (ablation) | MeshNet · ModelNet40 | Accuracy (%): 91.9 -> 91.1 | Hurt |
Closest papers by meaning
- Primal-Dual Mesh Convolutional Neural Networks (NeurIPS 2020 · similarity 0.87)
- MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval (AAAI 2019 · similarity 0.87)
- Learning Local Neighboring Structure for Robust 3D Shape Representation (AAAI 2021 · similarity 0.86)
- PoNQ: a Neural QEM-based Mesh Representation (CVPR 2024 · similarity 0.86)
- NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes (ICML 2023 · similarity 0.86)
- Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis (CVPR 2017 · similarity 0.86)
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