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FoundationVIO: Enforcing Metric Scale in Feed-forward Visual-Inertial Odometry
Feed-forward geometric foundation models (GFMs) directly predict dense geometry and camera poses from batches of images. Emerging visual SLAM methods chain together consecutive GFM batches to form dense point cloud maps. A core challenge is how to address the ambiguous geometric scale of GFM predict
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