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Memory-efficient GPU pipelines for real-time non-line-of-sight reconstruction

arXiv · AI, language, vision and robotics · article · Aug 28, 2026 · UTC

Non-line-of-sight (NLOS) imaging reconstructs scenes hidden around a corner from indirect light recorded by a single-photon avalanche diode (SPAD). A single reconstruction is a large inverse problem: billions of photon timestamps must be binned, moved through memory, transformed and inverted. As SPAD arrays raise acquisition throughput, reconstruction becomes the limiting stage. We rebuild the GPU execution of two established wave-based algorithms, f-k migration and phasor-fields, for both streaming and offline processing. On the phasor-fields side we assemble the ring-and-radius kernels of pr

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Evidence & attribution

First collected: 2026-09-21T08:21:55.975Z. This is not the publication date.