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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ReproduceCode
- github.com/andreasfloros/trustworthy-super-resolutionOfficialpytorch★ 3
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.
Tasks
Benchmark Results
| Dataset | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| CelebA-HQ 128x128 | TSRGP | PSNR | 24.09 | — | Unverified |