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 576–600 of 1459 papers

TitleStatusHype
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges—0
DRM-IR: Task-Adaptive Deep Unfolding Network for All-In-One Image Restoration—0
DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning—0
A Restoration Network as an Implicit Prior—0
All in One Bad Weather Removal Using Architectural Search—0
Image Restoration by Estimating Frequency Distribution of Local Patches—0
Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion—0
Algorithm-Induced Prior for Image Restoration—0
DPMambaIR:All-in-One Image Restoration via Degradation-Aware Prompt State Space Model—0
Double-Diffusion: Diffusion Conditioned Diffusion Probabilistic Model For Air Quality Prediction—0
CDI: Blind Image Restoration Fidelity Evaluation based on Consistency with Degraded Image—0
DRCAS: Deep Restoration Network for Hardware Based Compressive Acquisition Scheme—0
Cat-AIR: Content and Task-Aware All-in-One Image Restoration—0
DN-ResNet: Efficient Deep Residual Network for Image Denoising—0
Accurate Forgetting for All-in-One Image Restoration Model—0
Image Restoration by Deep Projected GSURE—0
Image Restoration from Parametric Transformations using Generative Models—0
DIVA: Deep Unfolded Network from Quantum Interactive Patches for Image Restoration—0
CasSR: Activating Image Power for Real-World Image Super-Resolution—0
Distribution-aware Dataset Distillation for Efficient Image Restoration—0
Distributed Learning and Inference with Compressed Images—0
Cascades of Regression Tree Fields for Image Restoration—0
Generative and Discriminative Learning for Distorted Image Restoration—0
Distilling Semantic Priors from SAM to Efficient Image Restoration Models—0
A Refined Inertial DC Algorithm for DC Programming—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