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 1101–1150 of 1459 papers

TitleStatusHype
GAMA-IR: Global Additive Multidimensional Averaging for Fast Image Restoration—0
GameIR: A Large-Scale Synthesized Ground-Truth Dataset for Image Restoration over Gaming Content—0
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting—0
GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration—0
Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework—0
Generalization of the Dark Channel Prior for Single Image Restoration—0
Generalized Expectation Maximization Framework for Blind Image Super Resolution—0
From Group Sparse Coding to Rank Minimization: A Novel Denoising Model for Low-level Image Restoration—0
Generative Adversarial Network based on Resnet for Conditional Image Restoration—0
Generative Adversarial Network on Motion-Blur Image Restoration—0
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution—0
Generative Diffusion Prior for Unified Image Restoration and Enhancement—0
Generative Image Inpainting with Submanifold Alignment—0
Generative Latent Coding for Ultra-Low Bitrate Image Compression—0
Generic 3D Convolutional Fusion for image restoration—0
GIQE: Generic Image Quality Enhancement via Nth Order Iterative Degradation—0
GLMHA A Guided Low-rank Multi-Head Self-Attention for Efficient Image Restoration and Spectral Reconstruction—0
Gradient-Domain Image Reconstruction Framework With Intensity-Range and Base-Structure Constraints—0
Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index—0
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution—0
Graph Spectral Image Processing—0
GRIDS: Grouped Multiple-Degradation Restoration with Image Degradation Similarity—0
Guided Frequency Loss for Image Restoration—0
Guided Image Restoration via Simultaneous Feature and Image Guided Fusion—0
Guided Nonlocal Patch Regularization and Efficient Filtering-Based Inversion for Multiband Fusion—0
GuideSR: Rethinking Guidance for One-Step High-Fidelity Diffusion-Based Super-Resolution—0
Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration—0
Hand Gestures Recognition in Videos Taken with Lensless Camera—0
Haze-Aware Attention Network for Single-Image Dehazing—0
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging—0
Heavy Rain Face Image Restoration: Integrating Physical Degradation Model and Facial Component Guided Adversarial Learning—0
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond—0
Hierarchical Information Flow for Generalized Efficient Image Restoration—0
Hierarchical Uncertainty Exploration via Feedforward Posterior Trees—0
High-Accuracy Total Variation for Compressed Video Sensing—0
High Dynamic Range and Super-Resolution from Raw Image Bursts—0
Higher-order MRFs based image super resolution: why not MAP?—0
High-Quality Stereo Image Restoration From Double Refraction—0
High-speed real-time single-pixel microscopy based on Fourier sampling—0
Holistic Dynamic Frequency Transformer for Image Fusion and Exposure Correction—0
H-OWAN: Multi-distorted Image Restoration with Tensor 1x1 Convolution—0
How Powerful Potential of Attention on Image Restoration?—0
Hybrid Agents for Image Restoration—0
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras—0
Hybrid Transformer and CNN Attention Network for Stereo Image Super-resolution—0
HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restoration—0
HyperKING: Quantum-Classical Generative Adversarial Networks for Hyperspectral Image Restoration—0
Hyper-Restormer: A General Hyperspectral Image Restoration Transformer for Remote Sensing Imaging—0
Hyperspectral Image Restoration and Super-resolution with Physics-Aware Deep Learning for Biomedical Applications—0
Hyperspectral Image Restoration via Global Total Variation Regularized Local nonconvex Low-Rank matrix Approximation—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