Research map / Point clouds / Shape and surface completion
Piecewise-Planar 3D Approximation From Wide-Baseline Stereo
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use 200 candidate planes instead of several thousand (ablation) | PEARL plane assignment · wide-baseline reconstruction | accuracy | No clear effect |
| Use a data-fidelity metric accounting for matching inaccuracy and ambiguity | Piecewise-planar approximation · man-made scenes from two wide-baseline views | plane assignment accuracy | Helped |
| Penalize the number of assigned plane models | Piecewise-planar approximation · man-made scenes from two wide-baseline views | number of plane models | Helped |
| Use dense point-cloud cues rather than only a sparse point cloud | Piecewise-planar approximation · textureless or repetitively patterned surfaces | ability to model regions | Helped |
Closest papers by meaning
- DUSt3R: Geometric 3D Vision Made Easy (CVPR 2024 · similarity 0.87)
- LAM3D: Large Image-Point Clouds Alignment Model for 3D Reconstruction from Single Image (NeurIPS 2024 · similarity 0.87)
- SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images (CVPR 2025 · similarity 0.87)
- AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings (CVPR 2024 · similarity 0.86)
- Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates (NeurIPS 2025 · similarity 0.86)
- Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization (AAAI 2025 · similarity 0.86)
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