GeoGS-SLAM removes appearance parameters from 3D Gaussian Splatting for geometry-only dense monocular SLAM, achieving faster convergence and fewer primitives while introducing a coherent Sim(3) map update for loop closure.
Vigs-slam: visual inertial gaussian splatting slam,
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.RO 2years
2026 2verdicts
CONDITIONAL 2representative citing papers
MAGS-SLAM is the first monocular multi-agent Gaussian Splatting SLAM system, aligning independently scaled sub-maps with a Sim(3) pose graph and occupancy-aware Gaussian fusion.
citing papers explorer
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GeoGS-SLAM: Geometry-Only Gaussian Splatting for Dense Monocular SLAM
GeoGS-SLAM removes appearance parameters from 3D Gaussian Splatting for geometry-only dense monocular SLAM, achieving faster convergence and fewer primitives while introducing a coherent Sim(3) map update for loop closure.
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MAGS-SLAM: Monocular Multi-Agent Gaussian Splatting SLAM for Geometrically and Photometrically Consistent Reconstruction
MAGS-SLAM is the first monocular multi-agent Gaussian Splatting SLAM system, aligning independently scaled sub-maps with a Sim(3) pose graph and occupancy-aware Gaussian fusion.