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

Showing 801–825 of 1459 papers

TitleStatusHype
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation—0
MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibility—0
SPIRE: Semantic Prompt-Driven Image Restoration—0
Bengali License Plate Recognition: Unveiling Clarity with CNN and GFP-GANCode0
Image Deblurring using GAN—0
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion—0
WaterHE-NeRF: Water-ray Tracing Neural Radiance Fields for Underwater Scene Reconstruction—0
Uncertainty Visualization via Low-Dimensional Posterior ProjectionsCode0
Hyper-Restormer: A General Hyperspectral Image Restoration Transformer for Remote Sensing Imaging—0
Decoupling Degradation and Content Processing for Adverse Weather Image Restoration—0
Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation—0
Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration—0
Multi-task Image Restoration Guided By Robust DINO Features—0
T3D: Advancing 3D Medical Vision-Language Pre-training by Learning Multi-View Visual Consistency—0
Test-Time Degradation Adaptation for Open-Set Image RestorationCode0
A Novel Variational Approach for Multiphoton Microscopy Image Restoration: from PSF Estimation to 3D Deconvolution—0
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context—0
Decomposer: Semi-supervised Learning of Image Restoration and Image Decomposition—0
Full-resolution MLPs Empower Medical Dense PredictionCode0
Joint Deep Image Restoration and Unsupervised Quality Assessment—0
FLAIR: A Conditional Diffusion Framework with Applications to Face Video RestorationCode0
Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancement—0
The Perception-Robustness Tradeoff in Deterministic Image Restoration—0
Dynamic Association Learning of Self-Attention and Convolution in Image Restoration—0
LuminanceL1Loss: A loss function which measures percieved brightness and colour differences—0
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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