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 926–950 of 1459 papers

TitleStatusHype
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
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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