Constrained and unconstrained deep image prior optimization models with automatic regularization
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Deep Image Prior (DIP) is currently among the most efficient unsupervised deep learning based methods for ill-posed inverse problems in imaging. This novel framework relies on the implicit regularization provided by representing images as the output of generat... ...