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 676–700 of 1459 papers

TitleStatusHype
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting—0
F2former: When Fractional Fourier Meets Deep Wiener Deconvolution and Selective Frequency Transformer for Image Deblurring—0
Accurate Forgetting for All-in-One Image Restoration Model—0
Efficient Image Restoration through Low-Rank Adaptation and Stable Diffusion XL—0
AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning—0
Enhanced Control for Diffusion Bridge in Image RestorationCode0
GameIR: A Large-Scale Synthesized Ground-Truth Dataset for Image Restoration over Gaming Content—0
A Preliminary Exploration Towards General Image Restoration—0
CODE: Confident Ordinary Differential EditingCode0
Taming Generative Diffusion Prior for Universal Blind Image Restoration—0
Multi-Scale Representation Learning for Image Restoration with State-Space Model—0
Harnessing Multi-resolution and Multi-scale Attention for Underwater Image RestorationCode0
Review Learning: Advancing All-in-One Ultra-High-Definition Image Restoration Training Method—0
Wavelet based inpainting detection—0
MultiColor: Image Colorization by Learning from Multiple Color Spaces—0
Physical prior guided cooperative learning framework for joint turbulence degradation estimation and infrared video restoration—0
Multi-weather Cross-view Geo-localization Using Denoising Diffusion Models—0
Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration—0
A Prior Embedding-Driven Architecture for Long Distance Blind Iris Recognition—0
Inverse Problems with Diffusion Models: A MAP Estimation PerspectiveCode0
Dilated Strip Attention Network for Image Restoration—0
RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models—0
CLII: Visual-Text Inpainting via Cross-Modal Predictive Interaction—0
Dual High-Order Total Variation Model for Underwater Image RestorationCode0
Deep Learning CT Image Restoration using System Blur and Noise Models—0
Show:102550
← PrevPage 28 of 59Next →
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