mlsanityData to 14 Oct 2026

JPEG Artifact Correction using Denoising Diffusion Restoration Models

arXiv 2209.11888 ↗First posted 23 Sep 2022eess.IV cs.CVcited by 47

On the map: Diffusion models → Inverse problems and image restoration

Abstract (arXiv)

Diffusion models can be used as learned priors for solving various inverse problems. However, most existing approaches are restricted to linear inverse problems, limiting their applicability to more general cases. In this paper, we build upon Denoising Diffusion Restoration Models (DDRM) and propose a method for solving some non-linear inverse problems. We leverage the pseudo-inverse operator used in DDRM and generalize this concept for other measurement operators, which allows us to use pre-trained unconditional diffusion models for applications such as JPEG artifact correction. We empirically demonstrate the effectiveness of our approach across various quality factors, attaining performance levels that are on par with state-of-the-art methods trained specifically for the JPEG restoration task.

Key facts. Cited by 47 papers in the map (data through 14 Oct 2026). Placed in Inverse problems and image restoration, one of 14 directions in Diffusion models. Builds on 34 of its 41 references that are in the map. First posted on arXiv 23 Sep 2022.

Builds on

34 of 41 references.

Closest ancestors · 2

Same direction, newest first

  1. 2022Denoising Diffusion Restoration Models27 Jan
  2. 2021Deblurring via Stochastic Refinement5 Dec

Other references · 32

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,177
  3. 2020Denoising Diffusion Implicit Modelscited by 9,781
  4. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,122
  5. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,255
  6. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,058
  7. 2021SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equationscited by 1,937
  8. 2016Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Networkcited by 1,908
  9. 2021Image Super-Resolution via Iterative Refinementcited by 1,511
  10. 2021Palette: Image-to-Image Diffusion Modelscited by 1,300
  11. 2021Blended Diffusion for Text-driven Editing of Natural Imagescited by 927
  12. 2021Score-based Generative Modeling in Latent Spacecited by 636
20 more
  1. 2021ILVR: Conditioning Method for Denoising Diffusion Probabilistic Modelscited by 635
  2. 2021Diffusion Schr"odinger Bridge with Applications to Score-Based Generative Modelingcited by 602
  3. 2021Solving Inverse Problems in Medical Imaging with Score-Based Generative Modelscited by 521
  4. 2022Diffusion Models for Adversarial Purificationcited by 476
  5. 2015Autoencoding beyond pixels using a learned similarity metriccited by 407
  6. 2019DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Bettercited by 362
  7. 2021Robust Compressed Sensing MRI with Deep Generative Priorscited by 286
  8. 2021SegDiff: Image Segmentation with Diffusion Probabilistic Modelscited by 280
  9. 2020Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulationcited by 225
  10. 2021SNIPS: Solving Noisy Inverse Problems Stochasticallycited by 191
  11. 2018Multi-level Wavelet-CNN for Image Restorationcited by 184
  12. 2015Compression Artifacts Reduction by a Deep Convolutional Networkcited by 136
  13. 2022CARD: Classification and Regression Diffusion Modelscited by 103
  14. 2021D2C: Diffusion-Denoising Models for Few-shot Conditional Generationcited by 96
  15. 2021Towards Flexible Blind JPEG Artifacts Removalcited by 76
  16. 2022Conditional Simulation Using Diffusion Schr"odinger Bridgescited by 60
  17. 2020Quantization Guided JPEG Artifact Correctioncited by 57
  18. 2021Stochastic Image Denoising by Sampling from the Posterior Distributioncited by 45
  19. 2022Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidancecited by 33
  20. 2022Threat Model-Agnostic Adversarial Defense using Diffusion Modelscited by 24

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 6; 2023: 18; 2024: 11; 2025: 7; 2026: 5.

47 papers.

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  1. 2022Imagic: Text-Based Real Image Editing with Diffusion Modelscited by 1,178
  2. 2022eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoiserscited by 931
  3. 2023A Variational Perspective on Solving Inverse Problems with Diffusion Modelscited by 222
  4. 2023I2SB: Image-to-Image Schr"odinger Bridgecited by 218
  5. 2023Editing Implicit Assumptions in Text-to-Image Diffusion Modelscited by 130
  6. 2022Parallel Diffusion Models of Operator and Image for Blind Inverse Problemscited by 113
  7. 2023Diffusion Models for Image Restoration and Enhancement: A Comprehensive Surveycited by 109
  8. 2023DiffiT: Diffusion Vision Transformers for Image Generationcited by 106
  9. 2023Hierarchical Integration Diffusion Model for Realistic Image Deblurringcited by 88
  10. 2022Multiscale Structure Guided Diffusion for Image Deblurringcited by 77
  11. 2023Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --cited by 71
  12. 2023Relightful Harmonization: Lighting-aware Portrait Background Replacementcited by 57
35 more
  1. 2023A Residual Diffusion Model for High Perceptual Quality Codec Augmentationcited by 35
  2. 2023A Unified Conditional Framework for Diffusion-based Image Restorationcited by 22
  3. 2024Binarized Diffusion Model for Image Super-Resolutioncited by 18
  4. 2022Boomerang: Local sampling on image manifolds using diffusion modelscited by 16
  5. 2022DriftRec: Adapting diffusion models to blind JPEG restorationcited by 15
  6. 2023Unlimited-Size Diffusion Restorationcited by 15
  7. 2023DiracDiffusion: Denoising and Incremental Reconstruction with Assured Data-Consistencycited by 15
  8. 2024Implicit Image-to-Image Schrodinger Bridge for Image Restorationcited by 14
  9. 2025DiET-GS: Diffusion Prior and Event Stream-Assisted Motion Deblurring 3D Gaussian Splattingcited by 14
  10. 2023Detector Guidance for Multi-Object Text-to-Image Generationcited by 11
  11. 2023Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Modelscited by 9
  12. 2024PSC: Posterior Sampling-Based Compressioncited by 8
  13. 2023Bridge Diffusion Model: Bridge Chinese Text-to-Image Diffusion Model with English Communitiescited by 6
  14. 2023FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restorationcited by 5
  15. 2023A Comparative Study of Variational Autoencoders, Normalizing Flows, and Score-based Diffusion Models for Electrical Impedance Tomographycited by 4
  16. 2024Taming Generative Diffusion Prior for Universal Blind Image Restorationcited by 4
  17. 2025FDG-Diff: Frequency-Domain-Guided Diffusion Framework for Compressed Hazy Image Restorationcited by 4
  18. 2024Efficient Image Deblurring Networks based on Diffusion Modelscited by 3
  19. 2024JPEG-LM: LLMs as Image Generators with Canonical Codec Representationscited by 3
  20. 2024Towards Unsupervised Blind Face Restoration using Diffusion Priorcited by 2
  21. 2024Frequency-Aware Guidance for Blind Image Restoration via Diffusion Modelscited by 2
  22. 2024An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Modelscited by 2
  23. 2025DDRM-PR: Fourier Phase Retrieval using Denoising Diffusion Restoration Modelscited by 2
  24. 2026Solving Room Impulse Response Inverse Problems Using Flow Matching with Analytic Wiener Denoisercited by 2
  25. 2023Leveraging Graph Diffusion Models for Network Refinement Taskscited by 1
  26. 2024Audio Decoding by Inverse Problem Solvingcited by 1
  27. 2025Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion modelcited by 1
  28. 2025Measurement-Aligned Sampling for Inverse Problemcited by 1
  29. 2026RobuMTL: Enhancing Multi-Task Learning Robustness Against Weather Conditionscited by 1
  30. 2026Constrained Particle Seeking: Solving Diffusion Inverse Problems with Just Forward Passescited by 1
  31. 2024Spatial-and-Frequency-aware Restoration method for Images based on Diffusion Modelscited by 0
  32. 2025LatentINDIGO: An INN-Guided Latent Diffusion Algorithm for Image Restorationcited by 0
  33. 2025Enhancing the Quality of 3D Lunar Maps Using JAXA's Kaguya Imagerycited by 0
  34. 2026TempJail: Temporal Jailbreak Attacks against Image-to-Video Generation Modelscited by 0
  35. 2026Getting Your Guidance Weights Right in diffusion and flow-matching posterior samplingcited by 0

Similar, not cited

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  1. 2025Compression-Aware One-Step Diffusion Model for JPEG Artifact Removal
  2. 2023Generative Diffusion Prior for Unified Image Restoration and Enhancement
  3. 2024Diffusion Posterior Proximal Sampling for Image Restoration
  4. 2022Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
  5. 2024Denoising Diffusion Restoration Tackles Forward and Inverse Problems for the Laplace Operator
  6. 2025Exploiting the Exact Denoising Posterior Score in Training-Free Guidance of Diffusion Models
  7. 2023Restoration based Generative Models
  8. 2024Solving Video Inverse Problems Using Image Diffusion Models