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arXiv · 1912.02314

Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization

Miika Aittala·Prafull Sharma·Lukas Murmann·Adam B. Yedidia·Gregory W. Wornell·William T. Freeman·Fredo Durand
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Abstract

We recover a video of the motion taking place in a hidden scene by observing changes in indirect illumination in a nearby uncalibrated visible region. We solve this problem by factoring the observed video into a matrix product between the unknown hidden scene video and an unknown light transport matrix. This task is extremely ill-posed, as any non-negative factorization will satisfy the data. Inspired by recent work on the Deep Image Prior, we parameterize the factor matrices using randomly initialized convolutional neural networks trained in a one-off manner, and show that this results in decompositions that reflect the true motion in the hidden scene.

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Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, William T. Freeman, Fredo Durand. 2019-12-05. Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. https://arxiv.org/abs/1912.02314

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