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 1276–1300 of 1459 papers

TitleStatusHype
Bengali License Plate Recognition: Unveiling Clarity with CNN and GFP-GANCode0
Uncertainty Visualization via Low-Dimensional Posterior ProjectionsCode0
Deep Learning-Based Channel EstimationCode0
Power Line Aerial Image Restoration under dverse Weather: Datasets and BaselinesCode0
Recurrent Spike-based Image Restoration under General IlluminationCode0
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy ImagesCode0
Fast Samplers for Inverse Problems in Iterative Refinement ModelsCode0
Posterior Sampling for Image Restoration using Explicit Patch PriorsCode0
PMS-Net: Robust Haze Removal Based on Patch Map for Single ImagesCode0
Fast Image Restoration With Multi-Bin Trainable Linear UnitsCode0
Plug-and-Play gradient-based denoisers applied to CT image enhancementCode0
PixelRL: Fully Convolutional Network with Reinforcement Learning for Image ProcessingCode0
Image Reconstruction via Deep Image Prior SubspacesCode0
Photon-Limited Blind Deconvolution using Unsupervised Iterative Kernel EstimationCode0
Fast and Interpretable Nonlocal Neural Networks for Image Denoising via Group-Sparse Convolutional Dictionary LearningCode0
A Theoretically Guaranteed Quaternion Weighted Schatten p-norm Minimization Method for Color Image RestorationCode0
Phenotype-preserving metric design for high-content image reconstruction by generative inpaintingCode0
Removal of speckle noises from ultrasound images using five different deep learning networksCode0
Perceptual-Distortion Balanced Image Super-Resolution is a Multi-Objective Optimization ProblemCode0
Path-Restore: Learning Network Path Selection for Image RestorationCode0
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality AssessmentCode0
Pathology Image Restoration via Mixture of PromptsCode0
Extremely Low-light Image Enhancement with Scene Text RestorationCode0
Deep Image Restoration For Image Anti-ForensicsCode0
Patch-Ordering as a Regularization for Inverse Problems in Image ProcessingCode0
Show:102550
← PrevPage 52 of 59Next →
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