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 251–275 of 1459 papers

TitleStatusHype
Continual All-in-One Adverse Weather Removal with Knowledge Replay on a Unified Network StructureCode1
Continuous Representation Methods, Theories, and Applications: An Overview and PerspectivesCode1
Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable BankCode1
Atlantis: Enabling Underwater Depth Estimation with Stable DiffusionCode1
Enlighten Anything: When Segment Anything Model Meets Low-Light Image EnhancementCode1
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image RestorationCode1
Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier DomainCode1
EnlightenGAN: Deep Light Enhancement without Paired SupervisionCode1
Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image RestorationCode1
End-to-End Learning for Joint Image Demosaicing, Denoising and Super-ResolutionCode1
Beyond Degradation Conditions: All-in-One Image Restoration via HOG TransformersCode1
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMMCode1
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid DecoderCode1
FriendNet: Detection-Friendly Dehazing NetworkCode1
HINet: Half Instance Normalization Network for Image RestorationCode1
Dynamic Contrastive Knowledge Distillation for Efficient Image RestorationCode1
DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-ResolutionCode1
Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed ImagesCode1
Bayesian Image Super-Resolution with Deep Modeling of Image StatisticsCode1
Dual Pixel Exploration: Simultaneous Depth Estimation and Image RestorationCode1
Bayesian Image Reconstruction using Deep Generative ModelsCode1
Dynamic Attentive Graph Learning for Image RestorationCode1
EDPN: Enhanced Deep Pyramid Network for Blurry Image RestorationCode1
Basic Binary Convolution Unit for Binarized Image Restoration NetworkCode1
BANet: Blur-aware Attention Networks for Dynamic Scene DeblurringCode1
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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