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
All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations—0
Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions—0
FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras—0
K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring—0
Multi-weather Image Restoration via Domain Translation—0
Variational Degeneration to Structural Refinement: A Unified Framework for Superimposed Image Decomposition—0
Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild—0
Fingerprinting Deep Image Restoration Models—0
Vector Quantization With Self-Attention for Quality-Independent Representation Learning—0
Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery—0
AccelIR: Task-Aware Image Compression for Accelerating Neural Restoration—0
PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting—0
DIVA: Deep Unfolded Network from Quantum Interactive Patches for Image Restoration—0
Restoring Vision in Hazy Weather with Hierarchical Contrastive Learning—0
Single Cell Training on Architecture Search for Image Denoising—0
NFResNet: Multi-scale and U-shaped Networks for Deblurring—0
Relationship Quantification of Image Degradations—0
Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information—0
Near-filed SAR Image Restoration with Deep Learning Inverse Technique: A Preliminary Study—0
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy ImagesCode0
Real-Time Under-Display Cameras Image Restoration and HDR on Mobile Devices—0
iiTransformer: A Unified Approach to Exploiting Local and Non-Local Information for Image Restoration—0
Stereo Image Rain Removal via Dual-View Mutual Attention—0
Patch-Craft Self-Supervised Training for Correlated Image DenoisingCode0
Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and DesnowingCode0
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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