AI RESEARCH
MT-PCR: Hybrid Mamba-Transformer Network with Spatial Serialization for Point Cloud Registration
arXiv CS.CV
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ArXi:2506.13183v2 Announce Type: replace Point cloud registration (PCR) is a fundamental task in 3D computer vision and robotics. Most learning-based PCR methods rely on Transformer architectures, which suffer from quadratic computational complexity. This limitation restricts the resolution of point clouds that can be processed, inevitably leading to information loss. In contrast, Mamba, a recently proposed model based on state-space models, achieves linear computational complexity while maintaining strong long-range contextual modeling capabilities.