AI RESEARCH
PCSTracker: Long-Term Scene Flow Estimation for Point Cloud Sequences
arXiv CS.CV
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ArXi:2603.19762v1 Announce Type: new Point cloud scene flow estimation is fundamental to long-term and fine-grained 3D motion analysis. However, existing methods are typically limited to pairwise settings and struggle to maintain temporal consistency over long sequences as geometry evolves, occlusions emerge, and errors accumulate. In this work, we propose PCSTracker, the first end-to-end framework specifically designed for consistent scene flow estimation in point cloud sequences. Specifically, we