A Geometric Prior Model predicts chunk-wise depth, confidence, and camera parameters, then hierarchical test-time adaptation performs sequential initialization, global Sim(3) alignment, and coarse-to-fine refinement. Dense correspondences and a robust CDF-style objective jointly optimize weighted 2D reprojection and 3D consistency residuals.
GeoWeaver is useful for indoor mapping, outdoor reconstruction, driving scenes, urban-scale capture, visual localization, and 3D asset creation from long videos. Its test-time adaptation remains compatible with different geometric prior models rather than being tied to one specific backbone.
