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image-to-point cloud registration 1lidar upsampling 1pose estimation 1self-supervised learning 1sensor fusion 1

From the 1 of 1 linked paper with an AI index.

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1 paper

cs.RO2026

Image-to-Point Cloud Registration Made Easy with Rectified Flow-based LiDAR Upsampling

Reon Tabata, Kenji Koide, Shuji Oishi +4

The paper presents a method that converts a sparse LiDAR scan into a dense intensity image using conditional rectified flow, matches it to a camera image, and estimates the 6‑DoF p…