Research map / Point clouds / Registration and matching
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add learned orientation (ablation) | BUFFER · 3DLoMatch | RR (%): 66.4 -> 67.8 | Helped |
| Add predicted keypoints (ablation) | BUFFER · 3DLoMatch | RR (%): 66.4 -> 68.9 | Helped |
| Add learned orientation and predicted keypoints (ablation) | BUFFER · 3DLoMatch | RR (%): 66.4 -> 69.3 | Helped |
| Add Inliers Generator (ablation) | BUFFER · 3DLoMatch | RR (%): 66.4 -> 70.7 | Helped |
| Add learned orientation, predicted keypoints, and Inliers Generator (ablation) | BUFFER · 3DLoMatch | RR (%): 66.4 -> 71.8 | Helped |
| Add learned orientation and predicted keypoints (ablation) | BUFFER · 3DMatch → ETH | Success (%): 90.74 -> 95.93 | Helped |
| Add learned orientation, predicted keypoints, and Inliers Generator (ablation) | BUFFER · 3DMatch → ETH | Success (%): 90.74 -> 98.88 | Helped |
| Combine point-wise learning with patch-wise features and feature-level inlier search | BUFFER · KITTI → 3DLoMatch | RR (%): 52.8 -> 64.5 | Helped |
Closest papers by meaning
- Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration (NeurIPS 2024 · similarity 0.89)
- PSReg: Prior-guided Sparse Mixture of Experts for Point Cloud Registration (AAAI 2025 · similarity 0.89)
- PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations (AAAI 2024 · similarity 0.88)
- Inlier Confidence Calibration for Point Cloud Registration (CVPR 2024 · similarity 0.88)
- FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators (ICLR 2024 · similarity 0.88)
- A robust inlier identification algorithm for point cloud registration via $\mathbf{\ell_0}$-minimization (NeurIPS 2024 · similarity 0.87)
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