PatchNR: learning from very few images by patch normalizing flow regularization
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DOI: 10.1088/1361-6420/acce5e
Abstract: Learning neural networks using only few available information is an important ongoing research topic with tremendous potential for applications. In this paper, we introduce a powerful regularizer for the variational modeling of inverse problems in… read more here.
Keywords: normalizing flow; patchnr learning; images patch; patch normalizing ... See more keywords