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Graph Neural Net Using Analytical Graph Filters And Topology Optimization For Image Denoising

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IEEE ICASSP 2020 Virtual Conference May 2020

While convolutional neural nets (CNNs) have achieved remarkable performance for a wide range of inverse imaging applications, the filter coefficients are computed in a purely data-driven manner and are not explainable. Inspired by an analytically derived

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Graph Neural Net Using Analytical Graph Filters And Topology Optimization For Image Denoising

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While convolutional neural nets (CNNs) have achieved remarkable performance for a wide range of inverse imaging applications, the filter coefficients are computed in a purely data-driven manner and are not explainable. Inspired by an analytically derived