Generative Patch Priors for Practical Compressive Image Recovery

18 Jun 2020Rushil AnirudhSuhas LohitPavan Turaga

In this paper, we propose the generative patch prior (GPP) that defines a generative prior for compressive image recovery, based on patch-manifold models. Unlike learned, image-level priors that are restricted to the range space of a pre-trained generator, GPP can recover a wide variety of natural images using a pre-trained patch generator... (read more)

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