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 176–200 of 1459 papers

TitleStatusHype
Varformer: Adapting VAR's Generative Prior for Image RestorationCode2
Zero-Shot Image Restoration Using Few-Step Guidance of Consistency Models (and Beyond)Code1
MaIR: A Locality- and Continuity-Preserving Mamba for Image RestorationCode2
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper GranularityCode0
An Ordinary Differential Equation Sampler with Stochastic Start for Diffusion Bridge Models—0
Generative Adversarial Network on Motion-Blur Image Restoration—0
UNet--: Memory-Efficient and Feature-Enhanced Network Architecture based on U-Net with Reduced Skip-Connections—0
Underwater Image Restoration via Polymorphic Large Kernel CNNsCode1
NeuroPump: Simultaneous Geometric and Color Rectification for Underwater Images—0
Multi-dimensional Visual Prompt Enhanced Image Restoration via Mamba-Transformer AggregationCode1
Unified Image Restoration and Enhancement: Degradation Calibrated Cycle Reconstruction Diffusion ModelCode1
Personalized Generative Low-light Image Denoising and Enhancement—0
Distilled Pooling Transformer Encoder for Efficient Realistic Image DehazingCode0
DarkIR: Robust Low-Light Image RestorationCode3
Consistent Diffusion: Denoising Diffusion Model with Data-Consistent Training for Image Restoration—0
Towards Context-aware Convolutional Network for Image Restoration—0
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification—0
Matrix Completion via Residual Spectral Matching—0
ExpRDiff: Short-exposure Guided Diffusion Model for Realistic Local Motion Deblurring—0
Dynamic Contrastive Knowledge Distillation for Efficient Image RestorationCode1
OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offsCode1
Are Conditional Latent Diffusion Models Effective for Image Restoration?—0
Convergence Analysis of a Proximal Stochastic Denoising Regularization Algorithm—0
EchoIR: Advancing Image Restoration with Echo Upsampling and Bi-Level Optimization—0
A Progressive Image Restoration Network for High-order Degradation Imaging in Remote Sensing—0
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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