Update README.md

README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+pipeline_tag: robotics
+tags:
+- point-cloud
+- 3d-vision
+- pose-estimation
+- registration
+- flow-model
+---
+
+# Register Any Point: Scaling 3D Point Cloud Registration by Flow Matching
+
+[![Project Page](https://img.shields.io/badge/Project_Page-RAP-red)](https://rectified-pointflow.github.io/) 
+[![arXiv](https://img.shields.io/badge/arXiv-2512.01850-blue?logo=arxiv&color=%23B31B1B)](https://arxiv.org/pdf/2512.01850) 
+[![GitHub](https://img.shields.io/badge/GitHub-Repository-black?logo=github)](https://github.com/PRBonn/RAP)
+
+
+**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. 
+
+
+For details, please check our [Github repository](https://github.com/PRBonn/RAP)