Proxies for Distortion and Consistency with Applications for Real-World Image Restoration | Paper Citation Record

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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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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

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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

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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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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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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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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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:35:44.030353Z

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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

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T17:35:44.001105Z

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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

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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

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

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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

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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

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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

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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; raw_fallback, observed 2026-08-10T17:35:43.913767Z

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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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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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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

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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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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

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

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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: verified fuzzy; raw_fallback, observed 2026-08-10T17:35:43.845552Z

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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

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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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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

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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

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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 2026-08-11T06:34:44.6726+00:00.

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

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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

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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

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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

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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

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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

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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

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Source-reported events for the cited work

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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

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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

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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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

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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

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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

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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

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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

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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 2026-08-11T06:34:44.6726+00:00.

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

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Source-reported events for the cited work

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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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

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 2026-08-11T06:34:44.6726+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers