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 1426–1450 of 1459 papers

TitleStatusHype
Reversible Adversarial Attack based on Reversible Image Transformation—0
Reversing Flow for Image Restoration—0
Review Learning: Advancing All-in-One Ultra-High-Definition Image Restoration Training Method—0
Revisiting L1 Loss in Super-Resolution: A Probabilistic View and Beyond—0
Revisiting loss-specific training of filter-based MRFs for image restoration—0
RGI: robust GAN-inversion for mask-free image inpainting and unsupervised pixel-wise anomaly detection—0
Robust Kernel Estimation With Outliers Handling for Image Deblurring—0
Robust Skin Color Driven Privacy Preserving Face Recognition via Function Secret Sharing—0
RSDehamba: Lightweight Vision Mamba for Remote Sensing Satellite Image Dehazing—0
SANDFORMER: CNN and Transformer under Gated Fusion for Sand Dust Image Restoration—0
Learning to See Through Dazzle—0
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild—0
Searching for Controllable Image Restoration Networks—0
Secondary complementary balancing compressive imaging with a free-space balanced amplified photodetector—0
Secret Lies in Color: Enhancing AI-Generated Images Detection with Color Distribution Analysis—0
SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training—0
Segmentation and Restoration of Images on Surfaces by Parametric Active Contours with Topology Changes—0
Segmentation Guided Sparse Transformer for Under-Display Camera Image Restoration—0
Cooperative Semantic Segmentation and Image Restoration in Adverse Environmental Conditions—0
Self-Committee Approach for Image Restoration Problems using Convolutional Neural Network—0
Self-Organized Operational Neural Networks for Severe Image Restoration Problems—0
Self-Organized Residual Blocks for Image Super-Resolution—0
Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems—0
Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems—0
Self-supervised Hyperspectral Image Restoration using Separable Image Prior—0
Show:102550
← PrevPage 58 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