mlsanityData to 14 Oct 2026

PromptIR: Prompting for All-in-One Blind Image Restoration

arXiv 2306.13090 ↗First posted 22 Jun 2023cs.CVcited by 114

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Abstract (arXiv)

Image restoration involves recovering a high-quality clean image from its degraded version. Deep learning-based methods have significantly improved image restoration performance, however, they have limited generalization ability to different degradation types and levels. This restricts their real-world application since it requires training individual models for each specific degradation and knowing the input degradation type to apply the relevant model. We present a prompt-based learning approach, PromptIR, for All-In-One image restoration that can effectively restore images from various types and levels of degradation. In particular, our method uses prompts to encode degradation-specific information, which is then used to dynamically guide the restoration network. This allows our method to generalize to different degradation types and levels, while still achieving state-of-the-art results on image denoising, deraining, and dehazing. Overall, PromptIR offers a generic and efficient plugin module with few lightweight prompts that can be used to restore images of various types and levels of degradation with no prior information on the corruptions present in the image. Our code and pretrained models are available here: https://github.com/va1shn9v/PromptIR

Key facts. Cited by 114 papers in the map (data through 14 Oct 2026). Builds on 55 of its 80 references that are in the map. First posted on arXiv 22 Jun 2023.

Builds on

55 of 80 references.

References · 55

  1. 2017Attention Is All You Needcited by 60,361
  2. 2020Language Models are Few-Shot Learnerscited by 32,419
  3. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  4. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  5. 2020End-to-End Object Detection with Transformerscited by 7,414
  6. 2016Layer Normalizationcited by 5,669
  7. 2020Training data-efficient image transformers & distillation through attentioncited by 4,586
  8. 2019Parameter-Efficient Transfer Learning for NLPcited by 4,236
  9. 2021Prefix-Tuning: Optimizing Continuous Prompts for Generationcited by 3,915
  10. 2020Deformable DETR: Deformable Transformers for End-to-End Object Detectioncited by 3,422
  11. 2021SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformerscited by 2,940
  12. 2021Learning to Prompt for Vision-Language Modelscited by 2,281
38 more
  1. 2021SwinIR: Image Restoration Using Swin Transformercited by 1,887
  2. 2022Visual Prompt Tuningcited by 1,681
  3. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,627
  4. 2021Multitask Prompted Training Enables Zero-Shot Task Generalizationcited by 1,470
  5. 2020Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformerscited by 1,369
  6. 2016Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoisingcited by 1,358
  7. 2021Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNetcited by 1,101
  8. 2021Transformers in Vision: A Surveycited by 1,013
  9. 2021Learning to Prompt for Continual Learningcited by 944
  10. 2020Pre-Trained Image Processing Transformercited by 893
  11. 2021Uformer: A General U-Shaped Transformer for Image Restorationcited by 866
  12. 2021Multi-Stage Progressive Image Restorationcited by 816
  13. 2022Simple Baselines for Image Restorationcited by 708
  14. 2022MaPLe: Multi-modal Prompt Learningcited by 687
  15. 2022DualPrompt: Complementary Prompting for Rehearsal-free Continual Learningcited by 642
  16. 2021Designing a Practical Degradation Model for Deep Blind Image Super-Resolutioncited by 529
  17. 2017FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoisingcited by 510
  18. 2022CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learningcited by 450
  19. 2017Benchmarking Single Image Dehazing and Beyondcited by 447
  20. 2022Activating More Pixels in Image Super-Resolution Transformercited by 438
  21. 2017Learning Deep CNN Denoiser Prior for Image Restorationcited by 408
  22. 2020Learning Texture Transformer Network for Image Super-Resolutioncited by 347
  23. 2016DehazeNet: An End-to-End System for Single Image Haze Removalcited by 314
  24. 2020Learning Enriched Features for Real Image Restoration and Enhancementcited by 312
  25. 2022MAXIM: Multi-Axis MLP for Image Processingcited by 302
  26. 2020Multi-Scale Progressive Fusion Network for Single Image Derainingcited by 260
  27. 2022Vision Transformers for Single Image Dehazingcited by 260
  28. 2018Density-aware Single Image De-raining using a Multi-stream Dense Networkcited by 248
  29. 2021TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditionscited by 244
  30. 2020Multi-Scale Boosted Dehazing Network with Dense Feature Fusioncited by 230
  31. 2020CycleISP: Real Image Restoration via Improved Data Synthesiscited by 213
  32. 2020Deblurring by Realistic Blurringcited by 188
  33. 2019Uncertainty Guided Multi-Scale Residual Learning-using a Cycle Spinning CNN for Single Image De-Rainingcited by 117
  34. 2023Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learningcited by 115
  35. 2022Visual Prompt Tuning for Test-time Domain Adaptationcited by 97
  36. 2020FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazingcited by 80
  37. 2022Visual Prompt Tuning for Generative Transfer Learningcited by 75
  38. 2019A General Decoupled Learning Framework for Parameterized Image Operatorscited by 72

50 most cited of 55 All 55 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 14; 2024: 43; 2025: 25; 2026: 32.

114 papers.

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  1. 2024InstructIR: High-Quality Image Restoration Following Human Instructionscited by 140
  2. 2023Controlling Vision-Language Models for Multi-Task Image Restorationcited by 110
  3. 2023AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusioncited by 100
  4. 2024Text-IF: Leveraging Semantic Text Guidance for Degradation-Aware and Interactive Image Fusioncited by 84
  5. 2024Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Modelcited by 73
  6. 2024Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restorationcited by 62
  7. 2024Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategycited by 50
  8. 2024Diff-Plugin: Revitalizing Details for Diffusion-based Low-level Taskscited by 48
  9. 2024DarkIR: Robust Low-Light Image Restorationcited by 48
  10. 2023Neural Degradation Representation Learning for All-In-One Image Restorationcited by 46
  11. 2023Prompt-In-Prompt Learning for Universal Image Restorationcited by 43
  12. 2024RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Modelscited by 43
38 more
  1. 2023Image Restoration Through Generalized Ornstein-Uhlenbeck Bridgecited by 41
  2. 2023Improving Image Restoration through Removing Degradations in Textual Representationscited by 36
  3. 2024All-In-One Medical Image Restoration via Task-Adaptive Routingcited by 30
  4. 2023Unifying Image Processing as Visual Prompting Question Answeringcited by 29
  5. 2024V2A-Mark: Versatile Deep Visual-Audio Watermarking for Manipulation Localization and Copyright Protectioncited by 28
  6. 2023Textual Prompt Guided Image Restorationcited by 27
  7. 2024DocRes: A Generalist Model Toward Unifying Document Image Restoration Taskscited by 27
  8. 2024Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraintcited by 24
  9. 2023Prompt-based Ingredient-Oriented All-in-One Image Restorationcited by 22
  10. 2024UniProcessor: A Text-induced Unified Low-level Image Processorcited by 22
  11. 2025UniUIR: Considering Underwater Image Restoration as An All-in-One Learnercited by 22
  12. 2024Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restorationcited by 21
  13. 2025Prompt-based Adaptation in Large-scale Vision Models: A Surveycited by 21
  14. 2024PromptCIR: Blind Compressed Image Restoration with Prompt Learningcited by 20
  15. 2025UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Controlcited by 20
  16. 2024Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restorationcited by 18
  17. 2024Spider: A Unified Framework for Context-dependent Concept Segmentationcited by 18
  18. 2023Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstructioncited by 17
  19. 2023Test-Time Degradation Adaptation for Open-Set Image Restorationcited by 17
  20. 2025Hybrid Agents for Image Restorationcited by 17
  21. 2024MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restorationcited by 15
  22. 2026Learning Continuous Wasserstein Barycenter Space for Generalized All-in-One Image Restorationcited by 15
  23. 2023Multi-task Image Restoration Guided By Robust DINO Featurescited by 14
  24. 2024Residual-Conditioned Optimal Transport: Towards Structure-Preserving Unpaired and Paired Image Restorationcited by 13
  25. 2024All-in-one Weather-degraded Image Restoration via Adaptive Degradation-aware Self-prompting Modelcited by 13
  26. 2024GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similaritycited by 12
  27. 2026ClearAIR: A Human-Visual-Perception-Inspired All-in-One Image Restorationcited by 12
  28. 2024Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Modelscited by 10
  29. 2024Instruct-IPT: All-in-One Image Processing Transformer via Weight Modulationcited by 9
  30. 2025MMAIF: Multi-task and Multi-degradation All-in-One for Image Fusion with Language Guidancecited by 9
  31. 2024LLMRA: Multi-modal Large Language Model based Restoration Assistantcited by 8
  32. 2024Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restorationcited by 8
  33. 2024EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopycited by 8
  34. 2024UCIP: A Universal Framework for Compressed Image Super-Resolution using Dynamic Promptcited by 8
  35. 2023Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Expertscited by 7
  36. 2025EvoIR: Towards All-in-One Image Restoration via Evolutionary Frequency Modulationcited by 7
  37. 2024A Preliminary Exploration Towards General Image Restorationcited by 6
  38. 2024Training-Free Large Model Priors for Multiple-in-One Image Restorationcited by 5

50 most cited of 114 All 114 (JSON)