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 226–250 of 1459 papers

TitleStatusHype
Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolutionCode1
Variational Bayes image restoration with compressive autoencodersCode1
Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image RestorationCode1
Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual NoiseCode1
Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion ModelCode1
Deep Equilibrium Diffusion Restoration with Parallel SamplingCode1
Deep Image Semantic Communication Model for Artificial Intelligent Internet of ThingsCode1
Image Restoration via Frequency SelectionCode1
Always Clear Days: Degradation Type and Severity Aware All-In-One Adverse Weather RemovalCode1
Neural Degradation Representation Learning for All-In-One Image RestorationCode1
A Comparative Study of Image Restoration Networks for General Backbone Network DesignCode1
AutoDIR: Automatic All-in-One Image Restoration with Latent DiffusionCode1
Degradation-Aware Self-Attention Based Transformer for Blind Image Super-ResolutionCode1
Survey on Deep Face Restoration: From Non-blind to Blind and BeyondCode1
On the Posterior Distribution in Denoising: Application to Uncertainty QuantificationCode1
FAIR: Frequency-aware Image Restoration for Industrial Visual Anomaly DetectionCode1
Learning from History: Task-agnostic Model Contrastive Learning for Image RestorationCode1
Prompt-based Ingredient-Oriented All-in-One Image RestorationCode1
SAM-Deblur: Let Segment Anything Boost Image DeblurringCode1
Memory augment is All You Need for image restorationCode1
MetaWeather: Few-Shot Weather-Degraded Image RestorationCode1
Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption DetectionCode1
MOFA: A Model Simplification Roadmap for Image Restoration on Mobile DevicesCode1
Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image EnhancementCode1
Learning A Coarse-to-Fine Diffusion Transformer for Image RestorationCode1
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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