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One Network to Solve Them All -- Solving Linear Inverse Problems Using Deep Projection Models
While deep learning methods have achieved state-of-the-art performance in many challenging inverse problems like image inpainting and super-resolution, they invariably involve problem-specific training of the networks.
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models
On the other hand, traditional methods using signal priors can be used in all linear inverse problems but often have worse performance on challenging tasks.
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