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 1126–1150 of 1459 papers

TitleStatusHype
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