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 1301–1325 of 1459 papers

TitleStatusHype
Multi-Scale Representation Learning for Image Restoration with State-Space Model—0
Multi-Scale Target-Aware Representation Learning for Fundus Image Enhancement—0
Multi-Scale Weighted Nuclear Norm Image Restoration—0
Multi-Shot Imaging: Joint Alignment, Deblurring and Resolution-Enhancement—0
Multispectral Image Restoration by Generalized Opponent Transformation Total Variation—0
Multi-Step Guided Diffusion for Image Restoration on Edge Devices: Toward Lightweight Perception in Embodied AI—0
Multitask Identity-Aware Image Steganography via Minimax Optimization—0
Multi-task Image Restoration Guided By Robust DINO Features—0
Multi-weather Image Restoration via Domain Translation—0
Multi-Weather Image Restoration via Histogram-Based Transformer Feature Enhancement—0
NAADA: A Noise-Aware Attention Denoising Autoencoder for Dental Panoramic Radiographs—0
Near-Field SAR Image Restoration Based On Two Dimensional Spatial-Variant Deconvolution—0
Near-filed SAR Image Restoration with Deep Learning Inverse Technique: A Preliminary Study—0
Near-Infrared Coloring via a Contrast-Preserving Mapping Model—0
Near-lossless _-constrained Image Decompression via Deep Neural Network—0
Neural Differential Equations for Single Image Super-resolution—0
Neural information coding for efficient spike-based image denoising—0
NeuroPump: Simultaneous Geometric and Color Rectification for Underwater Images—0
NFResNet: Multi-scale and U-shaped Networks for Deblurring—0
Noise2Stack: Improving Image Restoration by Learning from Volumetric Data—0
Non-blind Image Restoration Based on Convolutional Neural Network—0
Non-Convex Weighted Lp Nuclear Norm based ADMM Framework for Image Restoration—0
Nonlinear Filter Based Image Denoising Using AMF Approach—0
Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration—0
NTIRE 2020 Challenge on Image Demoireing: Methods and Results—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