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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 1459 papers

TitleStatusHype
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