Methods › Computer Vision › Image Models › IRN
Invertible Rescaling Network
IRN
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
An Invertible Rescaling Network (IRN) is a network for image rescaling. According to the Nyquist-Shannon sampling theorem, high-frequency contents are lost during downscaling. Ideally, we hope to keep all lost information to perfectly recover the original HR image, but storing or transferring the high-frequency information is unacceptable. In order to well address this challenge, the Invertible Rescaling Net (IRN) captures some knowledge on the lost information in the form of its distribution and embeds it into model’s parameters to mitigate the ill-posedness. Given an HR image x, IRN not only downscales it into a LR image y, but also embeds the case-specific high-frequency content into an auxiliary case-agnostic latent variable z, whose marginal distribution obeys a fixed pre-specified distribution (e.g., isotropic Gaussian). Based on this model, we use a randomly drawn sample of z from the pre-specified distribution for the inverse upscaling procedure, which holds the most information that one could have in upscaling.
Papers archive 2025-07-28
6 shown of 6, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Invertible Residual Rescaling Models 5 May 2024 · 0 repositories · arXiv:2405.02945
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Evaluating AI systems under uncertain ground truth: a case study in dermatology 5 Jul 2023 · 1 repository · arXiv:2307.02191
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Raising The Limit Of Image Rescaling Using Auxiliary Encoding 12 Mar 2023 · 0 repositories · arXiv:2303.06747
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Influential Recommender System 18 Nov 2022 · 0 repositories · arXiv:2211.10002
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Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural Network 24 Jul 2022 · 1 repository · arXiv:2207.11844
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Invertible Image Rescaling 12 May 2020 · 11 repositories · arXiv:2005.05650Syntology ran 3 of 17 samples · 14 unverified
Tasks archive 2025-07-28
7 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Image Rescaling | 4 |
| Image Super-Resolution | 3 |
| Super-Resolution | 3 |
| Diagnostic | 1 |
| Image Restoration | 1 |
| Medical Diagnosis | 1 |
| Recommendation Systems | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections