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 226250 of 1459 papers

TitleStatusHype
COLA-Net: Collaborative Attention Network for Image RestorationCode1
Deep Learning-Driven Ultra-High-Definition Image Restoration: A SurveyCode1
Illumination Controllable Dehazing Network based on Unsupervised Retinex EmbeddingCode1
Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image EnhancementCode1
Exploiting Deep Generative Prior for Versatile Image Restoration and ManipulationCode1
Image Demoireing with Learnable Bandpass FiltersCode1
Compound Multi-branch Feature Fusion for Real Image RestorationCode1
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned GuidanceCode1
Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image RestorationCode1
Annular Computational Imaging: Capture Clear Panoramic Images through Simple LensCode1
Exploring and Evaluating Image Restoration Potential in Dynamic ScenesCode1
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object DetectionCode1
Exploring the potential of channel interactions for image restorationCode1
Deep Image PriorCode1
Priors in Deep Image Restoration and Enhancement: A SurveyCode1
BIGPrior: Towards Decoupling Learned Prior Hallucination and Data Fidelity in Image RestorationCode1
From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral PerspectiveCode1
HQ-50K: A Large-scale, High-quality Dataset for Image RestorationCode1
Asymmetric Mask Scheme for Self-Supervised Real Image DenoisingCode1
Real-time 6K Image Rescaling with Rate-distortion OptimizationCode1
ConStyle v2: A Strong Prompter for All-in-One Image RestorationCode1
Deep Generalized Unfolding Networks for Image RestorationCode1
Forward-only Diffusion Probabilistic ModelsCode1
Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image RestorationCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
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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