AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling

NeurIPS 2019 Bichuan GuoYuxing HanJiangtao Wen

In this paper we propose to use a denoising autoencoder (DAE) prior to simultaneously solve a linear inverse problem and estimate its noise parameter. Existing DAE-based methods estimate the noise parameter empirically or treat it as a tunable hyper-parameter... (read more)

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