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 1176–1200 of 1459 papers

TitleStatusHype
Scientific Image Restoration AnywhereCode1
0-1 phase transitions in sparse spiked matrix estimation—0
Reversible Adversarial Attack based on Reversible Image Transformation—0
Cross-Scale Residual Network for Multiple Tasks:Image Super-resolution, Denoising, and Deblocking—0
Cooperative Semantic Segmentation and Image Restoration in Adverse Environmental Conditions—0
On the Proof of Fixed-Point Convergence for Plug-and-Play ADMM—0
Multi-defect microscopy image restoration under limited data conditions—0
SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction—0
Block based refitting in _12 sparse regularisation—0
Image Restoration Using Deep Regulated Convolutional NetworksCode0
Deformable Kernel Networks for Joint Image FilteringCode1
To Recurse or not to Recurse,a Low Dose CT Study—0
Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion—0
ATFaceGAN: Single Face Image Restoration and Recognition from Atmospheric Turbulence—0
Self-Guided Network for Fast Image DenoisingCode0
Fast Image Restoration With Multi-Bin Trainable Linear UnitsCode0
Progressive Reconstruction of Visual Structure for Image InpaintingCode0
ERL-Net: Entangled Representation Learning for Single Image De-Raining—0
Multi-scale Dynamic Feature Encoding Network for Image DemoireingCode0
Removing the Representation Error of GAN Image Priors Using the Deep Decoder—0
Analysis and Interpretation of Deep CNN Representations as Perceptual Quality Features—0
Manifold Modeling in Embedded Space: A Perspective for Interpreting "Deep Image Prior"—0
DRCAS: Deep Restoration Network for Hardware Based Compressive Acquisition Scheme—0
Memory-Efficient Hierarchical Neural Architecture Search for Image DenoisingCode1
MobiSR: Efficient On-Device Super-Resolution through Heterogeneous Mobile Processors—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