VideoLifter is a fragment-based, SfM-free video-to-3D pipeline using learned stereo priors and hierarchical Gaussian merging to cut training time by over 80% while matching or beating CF-3DGS quality.
Global fusion of relative motions for robust, accurate and scalable structure from motion
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VideoLifter: Lifting Videos to 3D with Fast Hierarchical Stereo Alignment
VideoLifter is a fragment-based, SfM-free video-to-3D pipeline using learned stereo priors and hierarchical Gaussian merging to cut training time by over 80% while matching or beating CF-3DGS quality.