SOTAVerified

Image Restoration

Image Restoration is a family of inverse problems for obtaining a high quality image from a corrupted input image. Corruption may occur due to the image-capture process (e.g., noise, lens blur), post-processing (e.g., JPEG compression), or photography in non-ideal conditions (e.g., haze, motion blur).

Source: Blind Image Restoration without Prior Knowledge

Papers

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Showing 1–50 of 1459 papers

TitleStatusHype
Unsupervised Part Discovery via Descriptor-Based Masked Image Restoration with Optimized ConstraintsCode0
LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior SamplingCode1
Double-Diffusion: Diffusion Conditioned Diffusion Probabilistic Model For Air Quality Prediction—0
EAMamba: Efficient All-Around Vision State Space Model for Image RestorationCode2
Elucidating and Endowing the Diffusion Training Paradigm for General Image Restoration—0
Wild refitting for black box prediction—0
TDiR: Transformer based Diffusion for Image Restoration Tasks—0
NAADA: A Noise-Aware Attention Denoising Autoencoder for Dental Panoramic Radiographs—0
Enhancing Image Restoration Transformer via Adaptive Translation Equivariance—0
Reversing Flow for Image Restoration—0
Visual-Instructed Degradation Diffusion for All-in-One Image RestorationCode1
MoiréXNet: Adaptive Multi-Scale Demoiréing with Linear Attention Test-Time Training and Truncated Flow Matching Prior—0
Optimization-Based Image Restoration under Implementation Constraints in Optical Analog Circuits—0
Unsupervised Imaging Inverse Problems with Diffusion Distribution MatchingCode1
Exploring Diffusion with Test-Time Training on Efficient Image Restoration—0
Exploiting the Exact Denoising Posterior Score in Training-Free Guidance of Diffusion Models—0
Text-Aware Image Restoration with Diffusion Models—0
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration—0
Multi-Step Guided Diffusion for Image Restoration on Edge Devices: Toward Lightweight Perception in Embodied AI—0
UniRes: Universal Image Restoration for Complex Degradations—0
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training—0
NTIRE 2025 the 2nd Restore Any Image Model (RAIM) in the Wild Challenge—0
NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution—0
Image Restoration Learning via Noisy Supervision in the Fourier Domain—0
Boosting All-in-One Image Restoration via Self-Improved Privilege LearningCode1
IRBridge: Solving Image Restoration Bridge with Pre-trained Generative Diffusion ModelsCode1
EquiReg: Equivariance Regularized Diffusion for Inverse Problems—0
URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image RestorationCode1
From Controlled Scenarios to Real-World: Cross-Domain Degradation Pattern Matching for All-in-One Image Restoration—0
Reference-Guided Identity Preserving Face Restoration—0
BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image RestorationCode2
A Regularization-Guided Equivariant Approach for Image RestorationCode1
Freqformer: Image-Demoiréing Transformer via Efficient Frequency DecompositionCode1
Benchmarking Laparoscopic Surgical Image Restoration and BeyondCode2
Manifold-aware Representation Learning for Degradation-agnostic Image Restoration—0
Dual Ascent Diffusion for Inverse Problems—0
RestoreVAR: Visual Autoregressive Generation for All-in-One Image Restoration—0
MODEM: A Morton-Order Degradation Estimation Mechanism for Adverse Weather Image RecoveryCode1
Clear Nights Ahead: Towards Multi-Weather Nighttime Image Restoration—0
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment—0
Breaking Complexity Barriers: High-Resolution Image Restoration with Rank Enhanced Linear Attention—0
Forward-only Diffusion Probabilistic ModelsCode1
Continuous Representation Methods, Theories, and Applications: An Overview and PerspectivesCode1
UHD Image Dehazing via anDehazeFormer with Atmospheric-aware KV Cache—0
LatentINDIGO: An INN-Guided Latent Diffusion Algorithm for Image Restoration—0
Towards a Universal Image Degradation Model via Content-Degradation DisentanglementCode0
Degradation-Aware Feature Perturbation for All-in-One Image RestorationCode2
Adaptive Image Restoration for Video Surveillance: A Real-Time Approach—0
Trustworthy Image Super-Resolution via Generative PseudoinverseCode0
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All datasetsCDD-11UHDM.

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72—Unverified
2SRUDCAverage PSNR (dB)27.64—Unverified
3RestormerAverage PSNR (dB)26.99—Unverified
4WGWSNetAverage PSNR (dB)26.96—Unverified
5DGUNetAverage PSNR (dB)26.92—Unverified
6OKNetAverage PSNR (dB)26.33—Unverified
7MIRNetAverage PSNR (dB)25.97—Unverified
8PromptIRAverage PSNR (dB)25.9—Unverified
9MPRNetAverage PSNR (dB)25.47—Unverified
10MIRNetv2Average PSNR (dB)25.37—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42—Unverified
2ESDNetPSNR22.12—Unverified
#ModelMetricClaimedVerifiedStatus
1730L37—Unverified