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Conferences > 3D > 2022 > 3F2A > 3F2A.2

Real-Time Reconstruction of 3D Compressive Samples with Deep Learning

Vladislav Kravets and Adrian Stern

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Abstract

We present a real-time 3D compressive samples reconstruction by using a deep learning network for variable density Hadamard samples. Our method is able to successfully recover 3D examples from as few as 10 samples.

© 2022 The Author(s)

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