Research map / 3D vision / Depth and stereo
Self-Supervised Super-Plane for Neural 3D Reconstruction
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add the self-supervised super-plane constraint (ablation) | VolSDF* · ScanNet | F-score: 0.589 -> 0.683 | Helped |
| Use the super-plane constraint instead of ground-truth plane segmentation (ablation) | VolSDF* · ScanNet | F-score: 0.658 -> 0.646 | No clear effect |
| Add auto-filtering to the super-plane constraint (ablation) | VolSDF* with super-plane constraint · ScanNet | F-score: 0.646 -> 0.668 | Helped |
| Add non-plane edge masking to the super-plane constraint (ablation) | VolSDF* with super-plane constraint · ScanNet | F-score: 0.646 -> 0.655 | Helped |
| Add both auto-filtering and non-plane edge masking (ablation) | VolSDF* with super-plane constraint · ScanNet | F-score: 0.646 -> 0.683 | Helped |
| Use super-planes rather than individual planes for the plane constraint (ablation) | VolSDF* · ScanNet | F-score: 0.658 -> 0.683 | Helped |
| Apply the S3P super-plane approach | VolSDF · 7-Scenes | F-score: 0.246 -> 0.483 | Helped |
Closest papers by meaning
- Towards In-the-wild 3D Plane Reconstruction from a Single Image (CVPR 2025 · similarity 0.89)
- SuperPrimitive: Scene Reconstruction at a Primitive Level (CVPR 2024 · similarity 0.87)
- AlphaTablets: A Generic Plane Representation for 3D Planar Reconstruction from Monocular Videos (NeurIPS 2024 · similarity 0.87)
- SuperNormal: Neural Surface Reconstruction via Multi-View Normal Integration (CVPR 2024 · similarity 0.86)
- AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings (CVPR 2024 · similarity 0.86)
- Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding (CVPR 2025 · similarity 0.86)
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