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null (Ed.)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.more » « less
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Yedidia, A. B. ; Baradad, M. ; Thrampoulidis, C. ; Freeman, W. T ; Wornell, G. W. ( , Proceedings of Conference on Computer Vision and Pattern Recognition)