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Paper Citation Record · LEDGER

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration

As of 11 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 1 inbound Pith citation observation for arXiv:2501.12102.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.12102 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:35:42.665705Z

measured 80 of 80 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:25:40.087610Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-09T16:25:40.748672Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact1
  • verified fuzzy63
  • unresolved14
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7961f105-7af3-4ae0-bd62-64248905d548 · outbound

This paper cites Explorable Super Resolu- tion.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Explorable Super Resolu- tion

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation bbce39be-fad2-48a0-8a4b-dcfc2fe7a7af · outbound

This paper cites What’s in the Image? Ex- plorable Decoding of Compressed Images.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration What’s in the Image? Ex- plorable Decoding of Compressed Images

Reference 2

Resolution
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raw_fallback, observed 2026-08-10T17:35:44.089723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 908dd485-f731-429a-bc47-b2bd43938e6d · outbound

This paper cites The Perception-Distortion Tradeoff.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration The Perception-Distortion Tradeoff

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.270690Z digest=sha256:3a95dffc777065f63985a0a70585918186df491116be2a875b6285447526545a

Observation 068aa347-d3f0-4a01-8619-b3e7d880c7ba · outbound

This paper cites an unresolved cited work.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Unresolved cited work

Reference 4

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unresolved
raw_fallback, observed 2026-08-10T17:35:44.058646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.275424Z digest=sha256:1d61c3e0cdb27b319dcb78d97ac23548a1fa37511d07c6b56b07c4a23a4b37af

Observation d4d339e9-5465-403c-a50e-4528cd758c22 · outbound

This paper cites Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Chain-of-Restoration: Multi-Task Image Restoration Models are Zero-Shot Step-by-Step Universal Image Restorers

Reference 5

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unresolved
no resolver link, observed 2026-08-10T17:35:42.280675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:42.280675Z digest=sha256:174a3daf12e7ed958a7f17ebf57f72602bee861e1dbb5039702e70579275192f

Observation f6a3863f-dfc3-4905-ac39-f839b556f070 · outbound

This paper cites Towards Real-World Blind Face Restoration with Generative Diffusion Prior.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Towards Real-World Blind Face Restoration with Generative Diffusion Prior

Reference 6

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no resolver link, observed 2026-08-10T17:35:42.286516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:42.286516Z digest=sha256:df5764bbf0ccf94daaa0852169e6fba7104ab32544500fa3e0672c8ff42cbf0b

Observation 13567c03-e2c2-4bfc-9bb0-ba683d024480 · outbound

This paper cites Trainable Nonlinear Reac- tion Diffusion: A Flexible Framework for Fast and Effective Image Restoration.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Trainable Nonlinear Reac- tion Diffusion: A Flexible Framework for Fast and Effective Image Restoration

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.291336Z digest=sha256:16bd07ab742c4bee61d11f1081f16e7b008cce1cad7efbcf6ec031cc7f9f27c6

Observation e7f0578d-3abf-4047-9d01-4ba8cfce5bdc · outbound

This paper cites Diffusion Pos- terior Sampling for General Noisy Inverse Problems.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Diffusion Pos- terior Sampling for General Noisy Inverse Problems

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.295822Z digest=sha256:0c5445f06ddf9885a6ad0d530ab6242a6669b7424d81736fedee1c7ad5f8f134

Observation 1a7a4fe9-07c9-438c-b535-73a6e62535d2 · outbound

This paper cites Parallel Diffusion Models of Operator and Image for Blind Inverse Problems.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

Reference 9

Resolution
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raw_fallback, observed 2026-08-10T17:35:44.015987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b7b6f6ed-5960-4668-8a6f-38d507ae947a · outbound

This paper cites Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering

Reference 10

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raw_fallback, observed 2026-08-10T17:35:44.001105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.305523Z digest=sha256:ca5f96846624c8d2ebb97930701f2e4718d377d94f7a13e4c43617e04a5740df

Observation fbd8e1ad-34a6-41f6-988a-94f172f07de7 · outbound

This paper cites ImageNet: A large-scale hierarchical im- age database.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration ImageNet: A large-scale hierarchical im- age database

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.986279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.310452Z digest=sha256:1656cd3251bd730c74c644957ef821f288be2773c549961b45db6909d768311a

Observation b0d92706-98b1-414b-9563-2fd903d9e3e1 · outbound

This paper cites Image Denoising Via Sparse and Redundant Representations Over Learned Dic- tionaries.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Image Denoising Via Sparse and Redundant Representations Over Learned Dic- tionaries

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.971064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.315218Z digest=sha256:573cae23abdb456ca1a1b1b85bf7e01258675d9a6cfc5499dd7970ef9267c8ba

Observation 82df2b74-5caa-4f1c-af14-295e0ebcd602 · outbound

This paper cites Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Image Denoising: The Deep Learning Revolution and Beyond—A Survey Paper

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.956273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.319850Z digest=sha256:901aa105db64d462b426e022964bac68cf2d988e55b72e66eabdc7377ae008f2

Observation f90d29d9-9979-4c3b-87a7-999d21096554 · outbound

This paper cites A Theory of the Distortion-Perception Tradeoff in Wasserstein Space.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration A Theory of the Distortion-Perception Tradeoff in Wasserstein Space

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.941767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.324877Z digest=sha256:7ee2a750919a22f5168b58867954934711bf891efb668115c8a0cbcf9f7379a4

Observation 243c1c73-34ee-4834-95d5-44d18aa7d14f · outbound

This paper cites Weighted Nuclear Norm Minimization with Appli- cation to Image Denoising.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Weighted Nuclear Norm Minimization with Appli- cation to Image Denoising

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.927528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.330261Z digest=sha256:5871dc8a16a1ea5e792246818ed6a8ff54a956553c4fe73753a69297177f98b1

Observation 38c53158-c6d1-451e-88fe-de83b697192d · outbound

This paper cites VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.336068Z digest=sha256:7b11908aa1d2bedb966c2e01514e4708eb61cf4ddbce40993924adec8fb4dba8

Observation eb814c0c-b0b1-4bd9-b0e3-2e7dafeb2fe4 · outbound

This paper cites Alarc´on.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Alarc´on

Reference 17

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raw_fallback, observed 2026-08-10T17:35:43.899737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.340965Z digest=sha256:f683cfcc6dbe3b309cf77491135c5e4853ba65255480d60b24b8499f0ebce74c

Observation ed6f8b7d-04b4-425d-acf6-25bc03cc08c1 · outbound

This paper cites Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations

Reference 18

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no resolver link, observed 2026-08-10T17:35:42.346497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:42.346497Z digest=sha256:c9f346834c4447313f576a95394a36a03cbc8b3e8ac36deeb080ab57eb69d8e5

Observation 7ef71625-e3ec-4a4d-8e0d-2db66f077c07 · outbound

This paper cites Under- water image restoration via contrastive learning and a real- world dataset.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Under- water image restoration via contrastive learning and a real- world dataset

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.885857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4a12c0d5-6a32-4f2b-a49b-c3f18a2fa1d0 · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 20

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raw_fallback, observed 2026-08-10T17:35:43.872663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.362988Z digest=sha256:a464706ec1b1338ce4f7eaeabfcd2b28e3f340439fb7c07c737476c50738c634

Observation faa3122f-7196-45c9-a0ef-6bbe6ec4ec75 · outbound

This paper cites Denoising Dif- fusion Probabilistic Models.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Denoising Dif- fusion Probabilistic Models

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.859322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.368360Z digest=sha256:af4afeceb11a1729889903c6816af5d9bbbc6dc3d9dcd67913059f7f85093896

Observation 3a947ffc-8531-420c-8f1b-8ced79db7894 · outbound

This paper cites Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller

Reference 22

Resolution
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raw_fallback, observed 2026-08-10T17:35:43.845552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.374079Z digest=sha256:53886bb9a4f1b5b5711afd8f67da14a3df4f04d11860824d095df877e54d7b39

Observation f75b57c5-e5e9-43b4-b2fc-250ef17c7320 · outbound

This paper cites Real-world super-resolution via kernel estimation and noise injection.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Real-world super-resolution via kernel estimation and noise injection

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.830681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.379837Z digest=sha256:d0c45dceca604888d3af6c38755ef04eabfca00ede28b5434e37ecbaffa0fe1e

Observation 5ca93fd7-1842-40d6-9a99-e34043075de7 · outbound

This paper cites DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-Resolution.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-Resolution

Reference 24

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unresolved
no resolver link, observed 2026-08-10T17:35:42.385932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:42.385932Z digest=sha256:9b814475467f6c0cb12cc473f013e670bb572ede0a4416bac359aa58bc8f2ebf

Observation 3dfbd5a7-7c2a-4bc0-9e25-5bc44ac837e6 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stabil- ity, and Variation.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Progressive Growing of GANs for Improved Quality, Stabil- ity, and Variation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.814875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.391602Z digest=sha256:6c281463c03e071532a0411a42a57483960d68ff01121d996a288ff1ffc04b84

Observation 82a75b11-1551-482f-b03a-3e7cc7efb382 · outbound

This paper cites A Style- Based Generator Architecture for Generative Adversarial Networks.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration A Style- Based Generator Architecture for Generative Adversarial Networks

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.799468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.397030Z digest=sha256:9cff494e44c7d11d1d08b7f623acb59651e67b063aa3930179ec340d7e18679d

Observation 9e6d7043-83d1-4ca7-9545-60951fb8b72d · outbound

This paper cites Stochastic Image Denoising by Sampling From the Posterior Distribution.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Stochastic Image Denoising by Sampling From the Posterior Distribution

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.784236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.405055Z digest=sha256:4bf041ca3bbcd0cca16bfa672c43676a846856c504dc31a3a7611b381c7a73ff

Observation 9a84548a-11c8-4668-af0b-922ed942cb9f · outbound

This paper cites Denoising Diffusion Restoration Models.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Denoising Diffusion Restoration Models

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.767724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.410602Z digest=sha256:0981c3522701e37ea6b7c44f46c3583b562ae9e90211e82ef301d46bf6191b19

Observation 19c57018-2d13-43ae-abf9-9eb4d23f8653 · outbound

This paper cites Fast Diffusion EM: A Diffusion Model for Blind Inverse Prob- lems With Application to Deconvolution.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Fast Diffusion EM: A Diffusion Model for Blind Inverse Prob- lems With Application to Deconvolution

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.752752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.416155Z digest=sha256:4896caab2ecca7583006a7d07ef6ccacd1c82501e6299dabd5ca62bf34e7cb8b

Observation bb5ee4a5-be0a-4f5f-8960-b9228cb06133 · outbound

This paper cites SwinIR: Image Restoration Using Swin Transformer.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration SwinIR: Image Restoration Using Swin Transformer

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.738174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.422326Z digest=sha256:28d8fb375b4c73ac78ada379b8603570d23c16253f6a29ccdf07c707d4274260

Observation 110df6ec-a525-4287-bc46-2e8448e578d3 · outbound

This paper cites DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T17:35:42.427241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:42.427241Z digest=sha256:4aa34a050d5a1121579d2ac4c04d8c43a76a2c7d22f4ae84c2c248c510ba2b18

Observation cc357606-5325-4e48-80c1-cf55817c68d3 · outbound

This paper cites A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethink- ing.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethink- ing

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.723903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.432917Z digest=sha256:ab2d3d8b0546191ff844aaf07512447c5375d2e2d3bbab6836d0f03300ce4c8b

Observation 247c9ff6-a499-473b-8910-8bbc9fe9e20e · outbound

This paper cites Deep learning face attributes in the wild.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Deep learning face attributes in the wild

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.709105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.438706Z digest=sha256:eb4df0382b44fbb104d469cab44812cfe0c779e20d0e3f3fe64d3ff30655fa50

Observation c7a678be-5928-4a84-bbfe-705f3a0f17d5 · outbound

This paper cites A ConvNet for the 2020s.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration A ConvNet for the 2020s

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.687106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.445586Z digest=sha256:718c10c8c28b82def0989e8b47efab854515dbf2d045830158d923a0abed7097

Observation 18ad3861-2dbc-4877-aaa9-d9c7d81185f7 · outbound

This paper cites Decoupled Weight De- cay Regularization.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Decoupled Weight De- cay Regularization

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.671560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.451321Z digest=sha256:01fb2f3db49af535791f80ce0c4978fa920e9bf95e357b3967af669042c435ee

Observation 5a942f01-d919-4ed1-9264-c24895610353 · outbound

This paper cites SRFlow: Learning the Super-Resolution Space with Normalizing Flow.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration SRFlow: Learning the Super-Resolution Space with Normalizing Flow

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.657234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.456350Z digest=sha256:9a37acc6eb72cf21429daa304c1bb7c44a1c3eb12eaa061053be4d375ea31636

Observation 796aed73-8a01-4b7c-bdcf-09659a215649 · outbound

This paper cites NTIRE 2021 Learning the Super-Resolution Space Chal- lenge.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration NTIRE 2021 Learning the Super-Resolution Space Chal- lenge

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.642906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.461403Z digest=sha256:13d2f452bb8bd50970edcca5ecb06d400bfbb0ad07d8eb075e59f0ec650c4400

Observation adccbf01-5d4c-4a75-b10a-9d1c38381b68 · outbound

This paper cites NTIRE 2022 Challenge on Learning the Super-Resolution Space.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration NTIRE 2022 Challenge on Learning the Super-Resolution Space

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.624754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.466343Z digest=sha256:f1cb100c38566b3ac836c0215caa85899be6a56daef80f564f43cd3f81bceebf

Observation 752d937e-dad0-4b4f-a5f0-60f28dd91976 · outbound

This paper cites High-Perceptual Quality JPEG Decoding via Posterior Sam- pling.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration High-Perceptual Quality JPEG Decoding via Posterior Sam- pling

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.600254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.471381Z digest=sha256:4856ab59107ff6f892b23c28ae5c632dc1f745b55877be8108bb7af24de128ee

Observation f71de041-5287-41cd-b450-92339708e627 · outbound

This paper cites A Variational Perspective on Solving Inverse Problems with Diffusion Models.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration A Variational Perspective on Solving Inverse Problems with Diffusion Models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.581083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.475766Z digest=sha256:5a45fe60386a7b1872f82eb471b42bf9835deccc117ceb833be6befcb66600e7

Observation 1e3df354-3f61-4e54-b9b3-0d94ad931265 · outbound

This paper cites completely blind.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration completely blind

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.564783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.480108Z digest=sha256:47d56d14d0aba740aad8b4249fdfc7a67cf1f1482dd374f6ec86c8a2bd458bdf

Observation 8e16d2e4-4bf7-4ac6-953e-2e91290e46cb · outbound

This paper cites Metric Learning Based Interactive Modulation for Real-World Super-Resolution.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Metric Learning Based Interactive Modulation for Real-World Super-Resolution

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.545639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.484116Z digest=sha256:4bcad89951e2e1364891f38525f7b1a5722aba3791737b5716b715a037db1cba

Observation ae4b485a-6fce-4d78-b599-d1cac929bc1f · outbound

This paper cites GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.528543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.488513Z digest=sha256:9c5e39a6bdc8c6b9ae658b3a0b592a9a4bf0d07f990d64adc64040cf95637f0f

Observation 655fe6b5-5575-4178-9c07-f0bc06e29c53 · outbound

This paper cites High Perceptual Quality Image De- noising With a Posterior Sampling CGAN.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration High Perceptual Quality Image De- noising With a Posterior Sampling CGAN

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.512177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.493274Z digest=sha256:261e8e55b5f321b78c8380109338426086cf8fba066b1c97c7a04cbba4e9dd3d

Observation 358feb60-b5ab-4595-b834-9803bd1e12f8 · outbound

This paper cites Reasons for the Superiority of Stochastic Esti- mators over Deterministic Ones: Robustness, Consistency and Perceptual Quality.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Reasons for the Superiority of Stochastic Esti- mators over Deterministic Ones: Robustness, Consistency and Perceptual Quality

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.490819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.499027Z digest=sha256:19e018755fde89e35e4f6ac7535b207fcda89a0435d79b3a11b0340f73ac8be2

Observation ca51e395-e506-446d-a8fc-60fb1e0023a8 · outbound

This paper cites Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T17:35:42.503189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:42.503189Z digest=sha256:aab9b31b1e2434d53af3013eef29175898df43455b5c730858c9a74fb8c6a71e

Observation 50409ede-545b-4e9c-9f74-64e9c3a19e34 · outbound

This paper cites Benchmarking Denoising Al- gorithms With Real Photographs.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Benchmarking Denoising Al- gorithms With Real Photographs

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.470793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.508351Z digest=sha256:14d546a54d3c3bfb303d7fdddf46f45734dc71ac8cda1ae38f39003fdba15230

Observation 49e1b5f6-44e9-406d-b7b8-f6bc14465f99 · outbound

This paper cites The Little Engine That Could: Regularization by Denoising (RED).

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration The Little Engine That Could: Regularization by Denoising (RED)

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.450370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.513219Z digest=sha256:128cb0d55e0d8f4e6db50d25aa1fe9290494ad14251ec0add681c288b4ac52e3

Observation e3ba70d3-b412-4314-ad25-1558088411b8 · outbound

This paper cites Un- paired Real-World Super-Resolution With Pseudo Control- lable Restoration.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Un- paired Real-World Super-Resolution With Pseudo Control- lable Restoration

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.430205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.517789Z digest=sha256:0afef12af7f6375267410852e97715654c38a8e53702b1be8953c982580725d9

Observation 02d4229f-63a6-4f23-84c1-2484ba044168 · outbound

This paper cites Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, 11 Jonathan Ho, David J.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, 11 Jonathan Ho, David J

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.410996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.522591Z digest=sha256:80914eb17f6374a49b142e9ec15e6551615b573ab91413a2f878c68938c2a97d

Observation 41df9b60-f01a-4ef6-88ad-6fdf79153c96 · outbound

This paper cites an unresolved cited work.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:35:43.393524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.527432Z digest=sha256:67fdb641daecf61883e683cd47063546e0fef943d5a53085789fcc85a2199540

Observation 04580a76-8407-4ab4-b2ad-2165b2c5c3f2 · outbound

This paper cites Zero-Shot.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Zero-Shot

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.375695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.532697Z digest=sha256:144fcd10648f280da338d0f1cd6e5c61f356a3adc6cd69f869a73c33e0dadb07

Observation e476868a-b998-4e62-b9a6-74f5c03cb1c8 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T17:35:42.537404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:42.537404Z digest=sha256:d13b89796daa48655e24829962ac64a6d603d1f7274b4d6ba1dba4e501b9751b

Observation d9de8221-6b4d-4149-acbb-09fbc96487bc · outbound

This paper cites Denois- ing Diffusion Implicit Models.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Denois- ing Diffusion Implicit Models

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.360670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.542318Z digest=sha256:22d4a0a0207776150233bcb2408cc9e3e74c2d638f6f94feaee9e2bbc11427a8

Observation 95b563f0-2feb-4a6a-a348-28d071910860 · outbound

This paper cites Pseudoinverse-Guided Diffusion Models for Inverse Problems.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Pseudoinverse-Guided Diffusion Models for Inverse Problems

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.346560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.547258Z digest=sha256:3dd9c4e775e97ae6cb298a418dc5960b1a944bb01a72acd67872694ebcdb3011

Observation d9fff71b-24f0-45f8-a6e5-de4e5c51ac8c · outbound

This paper cites NIMA: Neural image assessment.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration NIMA: Neural image assessment

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.331410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.552027Z digest=sha256:3f72a5f4236956901889e6bbe4b2ec8afc174fce9491d0ff10ba3203b6e86328

Observation 2db47573-d553-4f49-90f3-69ffd744e415 · outbound

This paper cites Explore Image Deblurring via Blur Kernel Space.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Explore Image Deblurring via Blur Kernel Space

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:35:42.767236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.557328Z digest=sha256:eaeac0188412a43acfb5c5974e5d63bafb4eeebaea1304bb680922ef4f84e994

Observation bce687fe-0c84-490e-b0c6-49ac2fdb7493 · outbound

This paper cites Taming Generative Diffusion Prior for Universal Blind Image Restoration.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Taming Generative Diffusion Prior for Universal Blind Image Restoration

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T17:35:42.562169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:42.562169Z digest=sha256:8b9de015709689caf650f9a4cdc3263f24d0d6249c748d2156676aaa00ef2aff

Observation 08ebece0-36f6-4038-890e-f80ef6f67033 · outbound

This paper cites Venkatakrishnan, Charles A.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Venkatakrishnan, Charles A

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.314939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.567688Z digest=sha256:d2b4f69539f8daf92b6d8af58e1b87ff8f2d8ac0dcc96916571376c472269d72

Observation 5e8f822a-c0f9-432b-8cae-0514de156068 · outbound

This paper cites an unresolved cited work.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:35:43.300829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.572243Z digest=sha256:7cd06a2aceec6ac3335576db01615c898bb4bdb17f8775144e1b427f741b56e1

Observation 9aa94c9e-196a-411e-b8bf-b227fc16a6f8 · outbound

This paper cites To- wards Real-World Blind Face Restoration With Generative Facial Prior.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration To- wards Real-World Blind Face Restoration With Generative Facial Prior

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.283067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.576957Z digest=sha256:192299c3b703c31bdb481f54d0bce17cdb322d1b99b8bf14fe54be5f119216f2

Observation e844f37e-881f-4b64-a0b1-4fa4f59e7422 · outbound

This paper cites Real-ESRGAN: Training Real-World Blind Super- Resolution With Pure Synthetic Data.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Real-ESRGAN: Training Real-World Blind Super- Resolution With Pure Synthetic Data

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.265001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.581760Z digest=sha256:e7465186123d39971f109e28f170590cda8ebf3f39c50383bfe8bdea05cd99bd

Observation 93b0152f-c2a8-413e-8bda-8bc1c29c1f51 · outbound

This paper cites Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-10T17:35:42.586494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:42.586494Z digest=sha256:7ceaf31141667f2f9dc4938c835ba6548362dbbdb96710b01ac70d4f4b8e21fc

Observation 22c5f7d4-97ea-4fb6-bcbb-0582aebf7d41 · outbound

This paper cites an unresolved cited work.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:35:43.249693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.591077Z digest=sha256:b0f051b66971dd1d3589593f9269977a9a959fe90f56920317ce184df2442929

Observation 7d8ceaa3-94dd-4cc5-baee-747c5c78d655 · outbound

This paper cites Bovik, H.R.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Bovik, H.R

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.231083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.595666Z digest=sha256:fe011c30c876ecc317d8fb1ef0e89c82f2558a8f506cd3c55ce23411b4f5341b

Observation c852b1fe-5c59-4c10-a1b8-ef054fcb9b09 · outbound

This paper cites RestoreFormer++: Towards Real- World Blind Face Restoration From Undegraded Key-Value Pairs.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration RestoreFormer++: Towards Real- World Blind Face Restoration From Undegraded Key-Value Pairs

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.215293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.600060Z digest=sha256:f9ff8144fc0ad54932ae4a47ab0a9aeea84bfd091a7dbd5af350324aee62a1ff

Observation 57ac5c9f-9e27-46c3-adde-a3f759558c92 · outbound

This paper cites PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.193923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.604872Z digest=sha256:1b26002b287f50be0305a18acc4eef7b91763cedfd2e3863c5e24d7f4561b814

Observation 7547a454-43eb-4638-92fd-3b0710fde816 · outbound

This paper cites WIDER FACE: A Face Detection Benchmark.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration WIDER FACE: A Face Detection Benchmark

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.176127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.609822Z digest=sha256:78af75134aa0dfe923152beecb02faf7a4bb4b648eeb796192f87512a0dd2187

Observation 6a0522e4-c41a-454b-9e09-8df7753f9e12 · outbound

This paper cites DifFace: Blind Face Restoration with Diffused Error Contraction.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration DifFace: Blind Face Restoration with Diffused Error Contraction

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T17:35:42.614758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:42.614758Z digest=sha256:e390f4819c745b59068dd83813442c8238e40dfd393597d931e91f2d9a0ce576

Observation 86698317-1da9-4ca2-a22f-b65284f4a8fd · outbound

This paper cites Restormer: Efficient Transformer for High-Resolution Im- age Restoration.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Restormer: Efficient Transformer for High-Resolution Im- age Restoration

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.159633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.620070Z digest=sha256:ebfbe2e6941dbabe68a21389991ec29d75bb33fe8d8a0026c0e0dce339e25a51

Observation 60e91d9a-f86a-42ad-b698-8052796666c7 · outbound

This paper cites Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.143144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.625904Z digest=sha256:37df82852b4070abd328c17a60e0766482ddeca6e209386021d55fa89cac0fa7

Observation 21e34c0c-347e-40af-a13b-578eb1027495 · outbound

This paper cites Designing a Practical Degradation Model for Deep Blind Image Super-Resolution.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Designing a Practical Degradation Model for Deep Blind Image Super-Resolution

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.127417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.631095Z digest=sha256:aa4848f5cc21192f567e6caa1cbc24f2caeec5b6c9936e097f68cfb7a0a2fee1

Observation dba8ae19-c9c6-4488-9c83-d1df70c02794 · outbound

This paper cites Efros, Eli Shecht- man, and Oliver Wang.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Efros, Eli Shecht- man, and Oliver Wang

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.111165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.636080Z digest=sha256:fc965113183fb247ce0b578219889bea2ef21858b7dc45cbd5cfcc52dc12acc2

Observation 19719062-dc86-45c9-9afc-ed14592762eb · outbound

This paper cites Learning to restore hazy video: A new real-world dataset and a new method.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Learning to restore hazy video: A new real-world dataset and a new method

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.095758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.641096Z digest=sha256:4997d1c071ad7f07d0ab0a78befcd8217c2cb1394672dbd865db631ba50a18c0

Observation e5194d12-b743-4714-83f1-ae1b65219168 · outbound

This paper cites Towards Robust Blind Face Restoration with Codebook Lookup Transformer.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Towards Robust Blind Face Restoration with Codebook Lookup Transformer

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.076866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.646189Z digest=sha256:44b57162850f020479c4b33d6abb05b827f4625086cdd3d37f9ee6d33dc8d7fe

Observation 08004987-dfc1-443c-bf5f-a79b6a5034dc · outbound

This paper cites Denoising Dif- fusion Models for Plug-and-Play Image Restoration.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Denoising Dif- fusion Models for Plug-and-Play Image Restoration

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:43.058106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.650644Z digest=sha256:3cc9133c4b06af5f58af88ab8592f055d6720500f1cc84f46989ca6c5d590231

Observation 69630930-2519-4199-ad03-b9a86ba8a8aa · outbound

This paper cites (23) and ⟨ ˆX, X∗⟩ in Eq.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration (23) and ⟨ ˆX, X∗⟩ in Eq

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:42.932537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.655938Z digest=sha256:f58607a72e34cf3d6da5fbb15efc0f326a99a74d609fc7f3189bff73ef9a16e9

Observation 642774a3-23aa-454f-852b-2ea9812499c5 · outbound

This paper cites Uniform Dist. #1.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Uniform Dist. #1

Reference 78

Resolution
malformed identifier
raw_fallback, observed 2026-08-10T17:35:42.914262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.661082Z digest=sha256:104f6fabdd1f219a2cd98fcb639e05365f7cc0b2b1cf34992ed5e4e39fef29be

Observation 9e1569a5-faa2-4af0-a2db-458203c94fdb · outbound

This paper cites Datasets analysis & synthesis F .1.

Proxies for Distortion and Consistency with Applications for Real-World Image Restoration Datasets analysis & synthesis F .1

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:42.897120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T17:35:42.665705Z digest=sha256:d4999adc87a8567b32e44cc41fcbcc868fa53f002fcd7fc3f56f4223af11ecd5

Pith citing papers

Observation 22b90c40-47b9-47a2-9a3d-b0bd5b675878 · inbound

Compressed Image Generation with Denoising Diffusion Codebook Models cites this paper.

Compressed Image Generation with Denoising Diffusion Codebook Models Proxies for Distortion and Consistency with Applications for Real-World Image Restoration

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-09T16:25:40.754226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T16:25:40.087610Z digest=sha256:dca5a650f05472362a7297dfa41e5c351d6d42ddf65b2d7a29e7529c075d1aa2