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RAP

Robotics
point-cloud
3d-vision
pose-estimation
registration
flow-model
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  [![Project Page](https://img.shields.io/badge/Project_Page-RAP-red)](https://rectified-pointflow.github.io/)
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  [![arXiv](https://img.shields.io/badge/arXiv-2512.01850-blue?logo=arxiv&color=%23B31B1B)](https://arxiv.org/pdf/2512.01850)
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- [![GitHub](https://img.shields.io/badge/GitHub-Repository-black?logo=github)](https://github.com/PRBonn/RAP)
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  **Register Any Point (RAP)** is a single-stage multi-view point cloud registration model based on conditional flow matching generation in the Euclidean space. RAP model generalises to point clouds with diverse scales, sensors, view counts, and overlapping ratios.
 
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  [![Project Page](https://img.shields.io/badge/Project_Page-RAP-red)](https://rectified-pointflow.github.io/)
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  [![arXiv](https://img.shields.io/badge/arXiv-2512.01850-blue?logo=arxiv&color=%23B31B1B)](https://arxiv.org/pdf/2512.01850)
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+ [![GitHub](https://img.shields.io/badge/GitHub-RAP-black?logo=github)](https://github.com/PRBonn/RAP)
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  **Register Any Point (RAP)** is a single-stage multi-view point cloud registration model based on conditional flow matching generation in the Euclidean space. RAP model generalises to point clouds with diverse scales, sensors, view counts, and overlapping ratios.