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Awesome All-in-One Image Restoration — many degradations, a shared restoration goal.

Paper count Research topic count Dataset count Contributions welcome GitHub stars

A research guide to restoring images across degradations, tasks and domains.
Discover unified models, language-guided methods and restoration agents,
alongside applications in medicine, microscopy, remote sensing and beyond.

Explore the collection   ·   Reading routes   ·   Evaluate   ·   What's new   ·   Contribute

Selected work from the maintainers' research group: Unified restoration — Perceive-IR, ClearAIR, ClusIR, ProRes; Underwater restoration — UniUIR; Agentic restoration — PreActIR.

Compare methods, publication venues and available implementations in a consistent format. Papers appear once in the main tables, ordered by verified publication year or preprint year; the language-guided index connects related themes.

Explore

Choose a method family, an application domain or an evaluation resource.

All-in-One Restoration
74 papers · Unified models, degradation representations and adaptive experts.
Adverse Weather
31 papers · Rain, haze, snow and mixed weather degradations.
Agentic Restoration
11 papers · Planning, tool use, reasoning and restoration feedback.
Medical Imaging
10 papers · Restoration and enhancement across medical modalities.
Remote Sensing & Hyperspectral
4 papers · Satellite imagery, spectral information and multimodal restoration.
Microscopy & Bioimaging
3 papers · Fluorescence images, cellular detail and scientific measurements.
Underwater Imaging
3 papers · Color, visibility and degradation diversity underwater.
Document Restoration
1 paper · Generalist restoration for document images.
Video Restoration
6 papers · Temporal information and changing weather in videos.
Continual & Open-World
3 papers · New degradations, adaptation and remembering prior tasks.
Cultural Heritage
2 papers · Mural restoration under multiple degradation types.
Downstream Vision
2 papers · Recognition and segmentation in adverse conditions.
Language & Instructions
A thematic index to language priors, user guidance and agentic methods.
Benchmarks & Metrics
2 reports · 19 datasets · 5 metrics.

Start here

Four suggested reading routes through the collection:

Your goal Suggested route
Understand unified restoration AirNet → PromptIR → Perceive-IR
Connect language to restoration DACLIP-UIR → InstructIR → UniProcessor
Explore generative priors AutoDIR → DiffUIR → RestoreVAR
Study planning and feedback RAR → OPERA → Agentic restoration

For a field-level overview, start with the related survey. For experiments, jump to datasets, challenge reports or common metrics.

Full contents · all sections

Links: Code points to released implementations; Project points to informational pages.


All-in-One Image Restoration

Unified restoration methods, from degradation representations and visual prompts to experts and generative priors.

Method Paper Venue Code
DL A General Decoupled Learning Framework for Parameterized Image Operators ECCV 2018 Code
AirNet All-in-one image restoration for unknown corruption CVPR 2022 Code
AMIRNet All-in-one Multi-degradation Image Restoration Network via Hierarchical Degradation Representation ACM MM 2023 Code
IDR Ingredient-oriented Multi-Degradation Learning for Image Restoration CVPR 2023 Code
PromptIR PromptIR: Prompting for All-in-One Blind Image Restoration NeurIPS 2023 Code
ProRes ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration arXiv 2023 Code
AutoDIR AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion ECCV 2024 Code
DACLIP-UIR Controlling Vision-Language Models for Universal Image Restoration ICLR 2024 Code
DiffUIR Selective Hourglass Mapping for Universal Image Restoration Based on Diffusion Model CVPR 2024 Code
InstructIR InstructIR: High-Quality Image Restoration Following Human Instructions ECCV 2024 Code
MPerceiver Multimodal Prompt Perceiver: Empower Adaptiveness Generalizability and Fidelity for All-in-One Image Restoration CVPR 2024 Code
NDR-Restore Neural Degradation Representation Learning for All-In-One Image Restoration TIP 2024 Code
PromptGIP Unifying Image Processing as Visual Prompting Question Answering ICML 2024 Code
RAM Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration ECCV 2024 Code
TextualDegRemoval Improving Image Restoration through Removing Degradations in Textual Representations CVPR 2024 Code
UniProcessor UniProcessor: A Text-induced Unified Low-level Image Processor ECCV 2024 Code
DyNet Dynamic Pre-training: Towards Efficient and Scalable All-in-One Image Restoration arXiv 2024 Code
HAIR HAIR: Hypernetworks-based All-in-One Image Restoration arXiv 2024 Code
LoRA-IR LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration arXiv 2024 Code
AdaIR (frequency) AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation ICLR 2025 Code
Defusion Visual-Instructed Degradation Diffusion for All-in-One Image Restoration CVPR 2025 Project
DFPIR Degradation-Aware Feature Perturbation for All-in-One Image Restoration CVPR 2025 Code
DSwinIR DSwinIR: Rethinking Window-Based Attention for Image Restoration TPAMI 2025 Code
FoundIR FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image Restoration ICCV 2025 Code
GenDeg GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration CVPR 2025 Code
InstructRestore InstructRestore: Region-Customized Image Restoration with Human Instructions NeurIPS 2025 Code
LM4LV LM4LV: A Frozen Large Language Model for Low-level Vision Tasks ICLR 2025 Code
M2Restore M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration TIP 2025 Code
MoCE-IR Complexity Experts are Task-Discriminative Learners for Any Image Restoration CVPR 2025 Code
MP-HSIR MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image Restoration ICCV 2025 Code
Perceive-IR Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration TIP 2025 Code
VLU-Net Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks CVPR 2025 Code
AdaptIR (frequency) Efficient All-in-One Image Restoration With Adaptive Frequency Enhancement TIP 2026 Project
BaryIR Learning Continuous Wasserstein Barycenter Space for Generalized All-in-One Image Restoration TPAMI 2026 Code
Beyond Uniform Restoration Beyond Uniform Restoration: Empowering All-in-One Restoration with Pixel-Level Multimodal Guidance ACM MM 2026 —
CDIR CDIR: LoRA-Inspired Attention for Efficient Composite Degradation Image Restoration TIP 2026 —
CEA Continuous Expert Assembly: Instance-Conditioned Low-Rank Residuals for All-in-One Image Restoration NeurIPS 2026 —
ClearAIR ClearAIR: A Human-Visual-Perception-Inspired All-in-One Image Restoration AAAI 2026 Code
ClusIR Towards Cluster-Guided All-in-One Image Restoration ACM MM 2026 —
CPLIR Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image Restoration TPAMI 2026 Code
CWP-Net All-in-One Image Restoration via Causal-Deconfounding Wavelet-Disentangled Prompt Network TIP 2026 —
DATPRL-IR Learning Domain-Aware Task Prompt Representations for Multi-Domain All-in-One Image Restoration ICLR 2026 Code
DCTTA Degradation-Consistent Test-Time Adaptation for All-in-One Image Restoration CVPR 2026 Code
DOD Diffusion Once and Done: Degradation-Aware LoRA for All-in-One Image Restoration AAAI 2026 Code
Expert Weaving Expert Weaving: Marrying Masked Auto-Regressive and Diffusion Models for Unified Image Restoration ECCV 2026 Project
FAPE-IR FAPE-IR: Frequency-Aware Planning and Execution Framework for All-in-One Image Restoration CVPR 2026 Code
Focal Modulation Focal Modulation for Image Restoration IJCV 2026 Code (partial)
FoundIR-v2 FoundIR-v2: Optimizing Pre-Training Data Mixtures for Image Restoration Foundation Model CVPR 2026 Code
IRPO IRPO: Boosting Image Restoration via Post-training GRPO NeurIPS 2026 Project
QuReC QuReC: All-in-One Image Restoration with Query-Specific Guidance and Local-Global Response Calibration ACM MM 2026 Code
RAR Restore, Assess, Repeat: A Unified Framework for Iterative Image Restoration CVPR 2026 Code
RestoreVAR RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration ICLR 2026 Code
Retrieve-to-Restore Retrieve-to-Restore: Efficient All-in-One Image Restoration with a Retrieval-Based Degradation Bank CVPR 2026 Code
SLAIR SLAIR: Structured Latent Flow Matching for All-in-One Image Restoration ECCV 2026 Code
SLER-IR SLER-IR: Spherical Layer-wise Expert Routing for All-in-One Image Restoration ECCV 2026 Project
StarIR StarIR: Convolutional Image Restoration With Spatial-Frequency Fusion TPAMI 2026 Code
SWFormer Image Restoration via Multi-Domain Learning TPAMI 2026 Project
UDAIR From Controlled Scenarios to the Real World: Cross-Domain Degradation Pattern Matching for All-in-One Image Restoration Research 2026 Code
UDBM Unifying Heterogeneous Degradations: Uncertainty-Aware Diffusion Bridge Model for All-in-One Image Restoration ICML 2026 —
UniCoRN UNICORN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations WACV 2026 —
UniLDiff UniLDiff: Unlocking the Power of Diffusion Priors for All-in-One Image Restoration CVPR 2026 —
UniRestorer UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity ICLR 2026 Code
VCMAIR Virtual Consistency Model for All-in-One Image Restoration TIP 2026 —
VIVNet Visual-in-Visual: A Unified and Efficient Baseline for Image Restoration TPAMI 2026 Code
DACG-IR Degradation-Aware Adaptive Context Gating for Unified Image Restoration arXiv 2026 Code
DFC Degradation Frequency Curve: An Explicit Frequency-Quantified Representation for All-in-One Image Restoration arXiv 2026 —
DPC-Net DPC-Net: Dual-Prior Collaborative Network for All-in-One Image Restoration arXiv 2026 —
Dual-Ambiguity What to Remove, What to Preserve: Dual-Ambiguity Rectification for All-in-One Image Restoration arXiv 2026 —
M2IR M2IR: Proactive All-in-One Image Restoration via Mamba-style Modulation and Mixture-of-Experts arXiv 2026 Project
MiM-DiT MiM-DiT: MoE in MoE with Diffusion Transformers for All-in-One Image Restoration arXiv 2026 Project
MoFE-MLLM Leveraging Multimodal Large Language Models for All-in-One Image Restoration via a Mixture of Frequency Experts arXiv 2026 —
SpikeRestormer SpikeRestormer: Towards Energy-Efficient All-in-One Image Restoration via Unified Event Reasoning arXiv 2026 —
UnSCAR UnSCAR: Universal, Scalable, Controllable, and Adaptable Image Restoration arXiv 2026 —
WaFIR WaFIR: Wavelet-Fourier Mixture-of-Experts with Subband-Adaptive Routing for Blind All-in-One Image Restoration arXiv 2026 —

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Adverse Weather Removal

Models for rain, haze, snow, raindrops and mixed weather. Check each paper for its precise training and evaluation settings.

Method Paper Venue Code
All-in-one All in One Bad Weather Removal using Architectural Search CVPR 2020 —
BIDeN Blind Image Decomposition ECCV 2022 Code
TKL Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model CVPR 2022 Code
TransWeather TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions CVPR 2022 Code
ADMS All-in-one Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations CVPR 2023 —
AWRCP Adverse Weather Removal with Codebook Priors ICCV 2023 —
DTMWR Multi-weather Image Restoration via Domain Translation ICCV 2023 Code
SmartAssign SmartAssign: Learning A Smart Knowledge Assignment Strategy for Deraining and Desnowing CVPR 2023 —
WeatherDiffusion Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models TPAMI 2023 Code
WeatherStream WeatherStream: Light Transport Automation of Single Image Deweathering CVPR 2023 Code
WGWS-Net Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions CVPR 2023 Code
GridFormer GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather Conditions IJCV 2024 Code
Histoformer Restoring Images in Adverse Weather Conditions via Histogram Transformer ECCV 2024 Code
LDR Language-driven All-in-one Adverse Weather Removal CVPR 2024 Code
MoFME Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation AAAI 2024 Code
MWFormer MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers TIP 2024 Code
OneRestore OneRestore: A Universal Restoration Framework for Composite Degradation ECCV 2024 Code
T3-DiffWeather Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint ECCV 2024 Code
AWRaCLe AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning AAAI 2025 Code
CyclicPrompt Prompt to Restore, Restore to Prompt: Cyclic Prompting for Universal Adverse Weather Removal TIP 2025 Code
MOERL MOERL: When Mixture-of-Experts Meet Reinforcement Learning for Adverse Weather Image Restoration ICCV 2025 —
ReviveDiff ReviveDiff: A Universal Diffusion Model for Restoring Images in Adverse Weather Conditions TIP 2025 —
All-in-One Transformer All-in-One Transformer for Image Restoration Under Adverse Weather Degradations TPAMI 2026 —
DCMPC-Net Degradation-Aware Prompt Learning with Cross-Modal Compensation for Adverse Weather Removal TIP 2026 Code
Pixel-Superpixel SSM Pixel Ignores, Superpixel Sees: Adverse Weather Image Restoration via Semantic-Center SSM ECCV 2026 —
PVRF PVRF: All-in-one Adverse Weather Removal via Prior-modulated and Velocity-constrained Rectified Flow NeurIPS 2026 Project
DDTNet DDTNet: Degradation Disentanglement and Transfer Network for Test-Time All-in-One De-weathering Adaptation arXiv 2026 —
FReSH-IR Efficient All-in-One Weather Restoration using Spectral Harmonization arXiv 2026 —
Learning from Failure Learning from Failure: Leveraging Unreliable Predictions in Semi-Supervised Real-World Adverse Weather Removal arXiv 2026 —
Uncertainty-Gated Uncertainty-Guided Adverse Weather Restoration via Gated Transformer Network arXiv 2026 —
Weather-Content Decoupling Breaking Weather-Content Coupling: Type-Severity Guided Progressive Disentanglement for All-in-One Infrared Restoration arXiv 2026 —

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Vision-Language and Instruction-Guided Restoration

A quick thematic index to papers already listed in the main restoration or adverse-weather tables, rather than a second copy of those tables.

Other Applications

Restoration across scientific imaging, specialist domains, video and downstream vision. Task-specific adaptation and modality limitations are noted where available.

Downstream Vision under Adverse Weather

Method Paper Venue Code
IDD-AW IDD-AW: A Benchmark for Safe and Robust Segmentation of Drive Scenes in Unstructured Traffic and Adverse Weather WACV 2024 Code
ROD-Weather Robust Object Detection in Challenging Weather Conditions WACV 2024 Code

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Underwater Image Restoration

Method Paper Venue Code
DGCL-UIE DGCL-UIE: Degradation-guided collaborative learning for all-in-one underwater image enhancement Optics & Laser Technology 2026 —
DIE2UIE Underwater image enhancement via degradation information extraction and guidance Pattern Recognition 2026 Code
UniUIR Considering Underwater Image Restoration as an All-in-One Learner TIP 2025 Code

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Medical Image Restoration

Method Paper Venue Code
AMIR All-In-One Medical Image Restoration via Task-Adaptive Routing MICCAI 2024 Code
BME-X A foundation model for enhancing magnetic resonance images and downstream segmentation, registration and diagnostic tasks Nature Biomedical Engineering 2025 (online 2024) Code
UniMIE A diffusion model for universal medical image enhancement Communications Medicine 2025 Code
AMIFound An all-in-one foundation model for multimodal medical image restoration and enhancement Nature Machine Intelligence 2026 Code
Beyond Static-World Beyond the Static-World: Lifelong Learning for All-in-One Medical Image Restoration CVPR 2026 —
HorusEye HorusEye: a self-supervised foundation model for generalizable X-ray tomography restoration Nature Computational Science 2026 Code
TAMP Imaging foundation model for universal enhancement of non-ideal measurement CT Nature Communications 2026 Code
UniH3 UniH³: Unifying Hierarchical Homogeneity and Heterogeneity for All-in-One Medical Image Restoration ECCV 2026 Code
MARR MARR: Decoupling Policy, Execution, and Calibration for All-in-One Medical Image Restoration arXiv 2026 —
VLDUN Vision-Language Controlled Deep Unfolding for Joint Medical Image Restoration and Segmentation arXiv 2026 Project

Scope: UniMIE provides cross-modality illumination/intensity enhancement. BME-X uses age- and contrast-specific checkpoints. HorusEye's additional SR, slice-thickness reconstruction, metal artifact removal and motion correction tasks require decoder fine-tuning. TAMP supports direct multi-setting CT enhancement; TAMP-S is its optionally adapted variant.

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Microscopy and Bioimage Restoration

Method Paper Venue Code
UniFMIR Pretraining a foundation model for generalizable fluorescence microscopy-based image restoration Nature Methods 2024 Code
Cellpose3 Cellpose3: one-click image restoration for improved cellular segmentation Nature Methods 2025 Code
FluoResFM A foundation model for multi-task cross-distribution restoration of fluorescence microscopy images Nature Communications 2026 Code

Scope: UniFMIR combines a shared pretrained backbone with task-specific heads/tails and task/dataset fine-tuning. Cellpose3's one-click model jointly handles multiple degradation types and is optimized for downstream segmentation. FluoResFM's unified tasks are denoising, deconvolution and 2× SR; its additional 3D, projection, isotropic reconstruction and other SR-scale tasks use fine-tuning.

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Remote Sensing and Hyperspectral Restoration

Method Paper Venue Code
DAMP Degradation-Aware Metric Prompting for Hyperspectral Image Restoration ICML 2026 Code
EORestore-Agent EORestore-Agent: Fidelity-Guided Agentic Restoration of Remote Sensing Images with Composite Degradations arXiv 2026 —
HSI-VAR HSI-VAR: Rethinking Hyperspectral Restoration through Spatial-Spectral Visual Autoregression arXiv 2026 Project
LLaRS A Unified Foundation Model for All-in-One Multi-Modal Remote Sensing Image Restoration and Fusion with Language Prompting arXiv 2026 Code

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Document Image Restoration

Method Paper Venue Code
DocRes DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks CVPR 2024 Code

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Cultural Heritage Image Restoration

Method Paper Venue Code
PGRDiff All-in-one mural restoration with prompt-guided residual diffusion npj Heritage Science 2025 Code
URDiff Learning mural restoration from degraded data via unsupervised low-rank residual diffusion npj Heritage Science 2026 Code

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Agentic Image Restoration

Method Paper Venue Code
HybridAgent Hybrid Agents for Image Restoration CVPR 2026 —
IAMAgent IAMAgent: Toward an Interactive and Adaptive Multi-Agent System for Image Restoration TIP 2026 —
OPERA OPERA: An Agent for Image Restoration with End-to-End Joint Planning-Execution Optimization NeurIPS 2026 Code
TIR-Agent TIR-Agent: Training an Explorative and Efficient Agent for Image Restoration ECCV 2026 —
Causal-AgentIR Causal-AgentIR: Self-Evolving Causal Memory for Adaptive Image Restoration Agents arXiv 2026 —
CoTIR Universal Image Restoration via Internalized Chain-of-Thought Reasoning arXiv 2026 Code
DiTTo DiTTo: Scalable Order-aware All-in-One Image Restoration Agent arXiv 2026 —
HarnessIR HarnessIR: Harnessing Multimodal Foundation Models for Universal Real-World Image Restoration arXiv 2026 Code
PreActIR Look Before You Restore: Learning to Predict Before Acting for Agentic Image Restoration arXiv 2026 Code
RIRF RIRF: Reasoning Image Restoration Framework arXiv 2026 —
SkillIR SkillIR: Evolving Scene-Aware Skills for Agentic Image Restoration arXiv 2026 —

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Video Restoration

Method Paper Venue Code
ViWS-Net Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation ICCV 2023 Code
DiffTTA Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal CVPR 2024 Project
FaverNet FaverNet: All-in-One Video Restoration via Frequency-Discriminative Conditioning IJCV 2026 Code
GDP Generative Diffusion Prior for Unified Image and Video Restoration & Enhancement IJCV 2026 Code
MoCRA MoCRA: Mixture of Compositional Rank-1 Atoms for 4K All-in-One Video Restoration arXiv 2026 —
ORCANet All-in-One Video Restoration under Smoothly Evolving Unknown Weather Degradations arXiv 2026 Code

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Continual Image Restoration

Method Paper Venue Code
DUDA Discovering Unseen Degradations to Adapt Open-World Image Restoration NeurIPS 2026 Code
RwF (domain-incremental) Restoring Without Forgetting: Continual Learning Across Image Degradations BMVC 2026 Code
RwF (filter-level) Restoring without Forgetting: Filter-Level Continual Image Restoration via Parameter-Space Integrated Gradients arXiv 2026 —

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Benchmarks and Metrics

Challenge & Benchmark Reports

Method Paper Venue Code
LoViF 2026 (CVPR) LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results CVPR Workshops 2026 —
LoViF 2026 (ECCV) The Second LoViF 2026 Challenge on Real-World All-in-One Image Restoration: Methods and Results ECCV Workshops 2026 Project

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Multi-Weather Datasets

Dataset Usage Download Year
Raindrop Train: 861/Test: set-A (58), set-B (239) download CVPR 2018
Snow100K 100K synthetic images download IEEE TIP 2018
Outdoor-Rain 9000 train/1500 val download CVPR 2019
ALL-Weather Train (18069): Outdoor-Rain (8250), Snow100K (9001), and Raindrop (818)/Test: Snow100K-L (16801), RaindropA (58), Outdoor-Rain (750) download CVPR 2022
SeaIceWeather Training,Testing — 2024

General Restoration Datasets

Dataset Usage Download Year
DIV2K Training,Testing — 2017
Flickr2K Training — 2017

| SIDD | Real smartphone noise with estimated clean targets | Dataset | 2018 | | CDD-11 | Synthetic single and composite weather degradations | Dataset | ECCV 2024 | | FoundIR | Large-scale multi-degradation restoration; training set requires application | Project | ICCV 2025 |

Remote Sensing Datasets

Single-degradation cloud removal and dehazing benchmarks are included alongside all-in-one datasets.

Dataset Usage Download Year
SEN12MS-CR Sentinel-1 SAR and Sentinel-2 optical; single-time cloud removal Dataset 2020
SEN12MS-CR-TS Sentinel-1/2 time series; multimodal cloud removal Dataset 2022
AllClear Sentinel-1/2 and Landsat time series; cloud removal; test set available Dataset NeurIPS 2024
HyperDehazing Hyperspectral dehazing; synthetic pairs and real hazy images Dataset ISPRS 2024
MDRS-Landsat Landsat; four degradation types for all-in-one restoration Dataset 2025
RRSHID Real-world paired remote sensing dehazing Dataset 2025
MDVD-108K UAV imagery; single and compound degradations, plus real images Dataset 2026

Medical Imaging Datasets

Dataset Usage Download Year
fastMRI Raw knee and brain MRI data for accelerated reconstruction; application required Apply 2018
SurgClean Endoscopic desmoking, defogging and desplashing; adjacent clean frames are unaligned; application required Apply CVPR 2026

Common Metrics

Metric Full Name Better Typical Use
PSNR Peak Signal-to-Noise Ratio ↑ Full-reference pixel fidelity
SSIM Structural Similarity Index ↑ Full-reference structural similarity
LPIPS Learned Perceptual Image Patch Similarity ↓ Full-reference perceptual difference
NIQE Natural Image Quality Evaluator ↓ No-reference perceptual quality
FID Fréchet Inception Distance ↓ Distribution-level perceptual quality

Metrics should be interpreted alongside the evaluation protocol and dataset; a lower perceptual distance does not necessarily imply higher pixel-wise fidelity.

Recent Updates

  • 2026-11-09: Added DGCL-UIE and DIE2UIE to the underwater multi-degradation restoration collection.
  • 2026-11-05: Expanded the dataset collection with remote sensing, medical imaging and multi-degradation restoration benchmarks.
  • 2026-11-03: Refreshed the guide with an original vector cover, topic navigation, reading routes and an expanded contribution guide. Bibliography, metric definitions and screening records are unchanged.
Earlier literature and project updates · catalog last updated October 29, 2026
  • 2026-10-28: Added 10 Nature Portfolio papers on medical, microscopy and cultural-heritage restoration, plus UDAIR in Research.
  • 2026-10-26: Added 2026 TPAMI/TIP/IJCV, ICLR/CVPR/AAAI/NeurIPS, and agentic-restoration papers; updated confirmed publication venues, verified available code, and added LoViF challenge reports.
  • 2026-10-15: Standardized paper tables, removed duplicate entries, and reviewed code links. Repository-only pages are labeled Project, not Code.
  • 2026-07: ClusIR: Towards Cluster-Guided All-in-One Image Restoration was accepted by ACM MM 2026.
  • 2026-03-14: ClearAIR: A Human-Visual-Perception-Inspired All-in-One Image Restoration was published at AAAI 2026.
  • 2025-10-14: UniUIR: Considering Underwater Image Restoration as an All-in-One Learner was published in IEEE TIP 2025.
  • 2025-04-27: Perceive-IR: Learning to Perceive Degradation Better for All-in-One Image Restoration was accepted by IEEE TIP 2025.
  • 2024-09-29: Code and models for ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration were released.

Contributing

Found a useful paper, a new implementation or a broken link? Suggest an addition or correction, or follow the contribution guide to submit a pull request.

Please include the paper title, official paper link, publication venue/year and a verified implementation URL when available. You can also contact [email protected] or [email protected].


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Snapshot date: 2026-11-09