Metric depth is recovered by expressing scale variations as a linear combination of basis maps from MDE cues whose weights are fit by least-squares to sparse metric anchors.
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Learning Image-Adaptive Scale Fields for Metric Depth Recovery
Metric depth is recovered by expressing scale variations as a linear combination of basis maps from MDE cues whose weights are fit by least-squares to sparse metric anchors.