Solving Linear Inverse Problems Using GAN Priors: An Algorithm with Provable Guarantees

23 Feb 2018Viraj ShahChinmay Hegde

In recent works, both sparsity-based methods as well as learning-based methods have proven to be successful in solving several challenging linear inverse problems. However, sparsity priors for natural signals and images suffer from poor discriminative capability, while learning-based methods seldom provide concrete theoretical guarantees... (read more)

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