AI RESEARCH
DM3D: Deformable Mamba via Offset-Guided Differentiable Scanning for Point Cloud Understanding
arXiv CS.CV
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ArXi:2512.03424v3 Announce Type: replace State Space Models (SSMs) show significant potential for long-sequence modeling, but their reliance on input order conflicts with the irregular nature of point clouds. Existing approaches often rely on predefined serialization schemes whose fixed scanning patterns cannot adapt to diverse geometric structures. To address this limitation, we propose DM3D, a deformable Mamba architecture for point cloud understanding. Specifically, DM3D