Boosting Metric Depth Completion via Training-Free Adaptive Response Geometry
arXiv:2609.36168v1 Announce Type: new Abstract: Depth completion aims to recover dense metric depth from sparse sensor measurements, increasingly leveraging visual foundation models as geometric priors. However, aligning these priors to true metric scale typically relies on rigid affine assumptions…
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- 2026-09-30 04:00 · arXiv cs.CV
Boosting Metric Depth Completion via Training-Free Adaptive Response Geometry