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

Showing 150 of 1459 papers

TitleStatusHype
MambaIRv2: Attentive State Space RestorationCode5
DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset CurationCode5
Efficient Diffusion Model for Image Restoration by Residual ShiftingCode5
MambaIR: A Simple Baseline for Image Restoration with State-Space ModelCode5
GLEAN: Generative Latent Bank for Image Super-Resolution and BeyondCode5
MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral ReconstructionCode5
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian NoiseCode4
Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image RestorationCode4
One-Step Effective Diffusion Network for Real-World Image Super-ResolutionCode4
DocRes: A Generalist Model Toward Unifying Document Image Restoration TasksCode4
A Survey on Visual MambaCode4
Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language ModelsCode4
InstructIR: High-Quality Image Restoration Following Human InstructionsCode4
DiffBIR: Towards Blind Image Restoration with Generative Diffusion PriorCode4
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space ModelCode4
NAFSSR: Stereo Image Super-Resolution Using NAFNetCode4
Simple Baselines for Image RestorationCode4
DarkIR: Robust Low-Light Image RestorationCode3
FoundIR: Unleashing Million-scale Training Data to Advance Foundation Models for Image RestorationCode3
TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-ResolutionCode3
Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image RestorationCode3
A Survey on All-in-One Image Restoration: Taxonomy, Evaluation and Future TrendsCode3
PixWizard: Versatile Image-to-Image Visual Assistant with Open-Language InstructionsCode3
Restoring Images in Adverse Weather Conditions via Histogram TransformerCode3
Single-Image Shadow Removal Using Deep Learning: A Comprehensive SurveyCode3
OneRestore: A Universal Restoration Framework for Composite DegradationCode3
Instruct-IPT: All-in-One Image Processing Transformer via Weight ModulationCode3
Blind Image Restoration via Fast Diffusion InversionCode3
Self-Rectifying Diffusion Sampling with Perturbed-Attention GuidanceCode3
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and ModulationCode3
VmambaIR: Visual State Space Model for Image RestorationCode3
HAT: Hybrid Attention Transformer for Image RestorationCode3
Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and Personalized StylizationCode3
Unlimited-Size Diffusion RestorationCode3
Cold Diffusion: Inverting Arbitrary Image Transforms Without NoiseCode3
VRT: A Video Restoration TransformerCode3
MAXIM: Multi-Axis MLP for Image ProcessingCode3
Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image ReconstructionCode3
SwinIR: Image Restoration Using Swin TransformerCode3
Old Photo Restoration via Deep Latent Space TranslationCode3
Bringing Old Photos Back to LifeCode3
EAMamba: Efficient All-Around Vision State Space Model for Image RestorationCode2
BaryIR: Learning Multi-Source Unified Representation in Continuous Barycenter Space for Generalizable All-in-One Image RestorationCode2
Benchmarking Laparoscopic Surgical Image Restoration and BeyondCode2
Degradation-Aware Feature Perturbation for All-in-One Image RestorationCode2
SVAD: From Single Image to 3D Avatar via Synthetic Data Generation with Video Diffusion and Data AugmentationCode2
An Efficient and Mixed Heterogeneous Model for Image RestorationCode2
Rethinking LayerNorm in Image Restoration TransformersCode2
Content-Aware Transformer for All-in-one Image RestorationCode2
Compression-Aware One-Step Diffusion Model for JPEG Artifact RemovalCode2
Show:102550
← PrevPage 1 of 30Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72Unverified
2SRUDCAverage PSNR (dB)27.64Unverified
3RestormerAverage PSNR (dB)26.99Unverified
4WGWSNetAverage PSNR (dB)26.96Unverified
5DGUNetAverage PSNR (dB)26.92Unverified
6OKNetAverage PSNR (dB)26.33Unverified
7MIRNetAverage PSNR (dB)25.97Unverified
8PromptIRAverage PSNR (dB)25.9Unverified
9MPRNetAverage PSNR (dB)25.47Unverified
10MIRNetv2Average PSNR (dB)25.37Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42Unverified
2ESDNetPSNR22.12Unverified
#ModelMetricClaimedVerifiedStatus
1730L37Unverified