Trustworthy Image Super-Resolution via Generative Pseudoinverse
We consider the problem of trustworthy image restoration, taking the form of a constrained optimization over the prior density. To this end, we develop generative models for the task of image super-resolution that respect the degradation process and that can be made asymptotically consistent with the low-resolution measurements, outperforming existing methods by a large margin in that respect.
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Image RestorationImage Super-ResolutionSuper-ResolutionMethods 이 논문이 사용한 방법론
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