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 1376–1400 of 1459 papers

TitleStatusHype
Proximal Splitting Networks for Image Restoration—0
PSF--NET: A Non-parametric Point Spread Function Model for Ground Based Optical Telescopes—0
Puzzle Similarity: A Perceptually-guided Cross-Reference Metric for Artifact Detection in 3D Scene Reconstructions—0
Q-Agent: Quality-Driven Chain-of-Thought Image Restoration Agent through Robust Multimodal Large Language Model—0
Q-MambaIR: Accurate Quantized Mamba for Efficient Image Restoration—0
Quality Adaptive Low-Rank Based JPEG Decoding with Applications—0
Quantized Low-Rank Multivariate Regression with Random Dithering—0
Quaternion Nuclear Norm minus Frobenius Norm Minimization for color image reconstruction—0
QUIET-SR: Quantum Image Enhancement Transformer for Single Image Super-Resolution—0
R3L: Connecting Deep Reinforcement Learning to Recurrent Neural Networks for Image Denoising via Residual Recovery—0
Rain Removal and Illumination Enhancement Done in One Go—0
Rain Removal via Shrinkage-Based Sparse Coding and Learned Rain Dictionary—0
Random Weights Networks Work as Loss Prior Constraint for Image Restoration—0
Real Image Restoration via Structure-preserving Complementarity Attention—0
Real-Time Under-Display Cameras Image Restoration and HDR on Mobile Devices—0
Real-world Person Re-Identification via Degradation Invariance Learning—0
Recent Progress in Image Deblurring—0
Recent progress in image denoising: A training strategy perspective—0
Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image Denoising—0
Reconstructing Satellites in 3D from Amateur Telescope Images—0
Reconstruction-based Pairwise Depth Dataset for Depth Image Enhancement Using CNN—0
Recovering Continuous Scene Dynamics from A Single Blurry Image with Events—0
Reducing the Representation Error of GAN Image Priors Using the Deep Decoder—0
Reference-Guided Identity Preserving Face Restoration—0
ReF-LDM: A Latent Diffusion Model for Reference-based Face Image Restoration—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