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Trustworthy Image Super-Resolution via Generative Pseudoinverse

2025-05-18Code Available0· sign in to hype

Andreas Floros, Seyed-Mohsen Moosavi-Dezfooli, Pier Luigi Dragotti

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Abstract

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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Benchmark Results

DatasetModelMetricClaimedVerifiedStatus
CelebA-HQ 128x128TSRGPPSNR24.09Unverified

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