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Physically Grounded Monocular Depth via Nanophotonic Wavefront Encoding

Li, Bingxuan et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionhardware-architectureoptics
Depth foundation models (DFMs) offer strong learned priors for 3D perception from single RGB images but lack physical depth cues, leading to ambiguities in metric scale. We introduce metalenses, an emerging class of ultrathin planar optical elements, as a solution to physically encode missing metric
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