Key Features

Dense 3D trajectory recovery
Monocular video processing
2D tracker integration
Video geometry integration
Learned trajectory repair
Occlusion completion
Shared corrector checkpoint
Video and evaluation scripts

The pipeline lifts tracked pixels along the corresponding camera rays using estimated depth. A learned corrector repairs geometric errors and fills gaps when points are occluded. The released checkpoint can be used with multiple supported tracker and geometry combinations.


ReLift is useful for 3D vision research and motion analysis where independent depth and tracking predictions drift. The repository includes video demos and evaluation scripts so researchers can inspect raw and corrected trajectories side by side.

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