Deep Learning Techniques for Inverse Problems in Imaging

12 May 2020Gregory OngieAjil JalalChristopher A. MetzlerRichard G. BaraniukAlexandros G. DimakisRebecca Willett

Recent work in machine learning shows that deep neural networks can be used to solve a wide variety of inverse problems arising in computational imaging. We explore the central prevailing themes of this emerging area and present a taxonomy that can be used to categorize different problems and reconstruction methods... (read more)

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