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Focusing solely on geometry, GeoGS-SLAM achieves over 80% reduction in Gaussian primitives while enhancing mapping efficiency and reconstruction quality.
Achieve real-time dense visual odometry by cleverly fusing classic sparse methods with modern feed-forward networks, outperforming end-to-end approaches by a wide margin.
