2026
OASIS-DC: Generalizable Depth Completion Via Output-Level Alignment of Sparse-Integrated Monocular Pseudo Depth
ICRA 2026poster
Recent monocular foundation models excel at zero-shot depth estimation, yet their outputs are inherently relative rather than metric, limiting direct use in robotics and autonomous driving. We leverage the fact that relative depth preserves global layout and boundaries: by calibrating it with sparse…