AI RESEARCH
GaussianFlow SLAM: Monocular Gaussian Splatting SLAM Guided by GaussianFlow
arXiv CS.CV
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ArXi:2604.15612v1 Announce Type: cross Gaussian splatting has recently gained traction as a compelling map representation for SLAM systems, enabling dense and photo-realistic scene modeling. However, its application to monocular SLAM remains challenging due to the lack of reliable geometric cues from monocular input. Without geometric supervision, mapping or tracking could fall in local-minima, resulting in structural degeneracies and inaccuracies.