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F$^2$ SLAM: Turning Feed-Forward Geometry into Persistent Factors for SLAM
Feed-forward 3D models provide strong multi-view geometric priors, while on- line simultaneous localization and mapping (SLAM) relies mainly on local mea- surements and can accumulate drift over long sequences. Existing attempts to combine the two typically treat feed-forward predictions as an exter
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