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 1011–1020 of 1459 papers

TitleStatusHype
Single Underwater Image Restoration by Contrastive LearningCode1
COLA-Net: Collaborative Attention Network for Image RestorationCode1
Perceptual Image Restoration with High-Quality Priori and Degradation Learning—0
Convolutional versus Self-Organized Operational Neural Networks for Real-World Blind Image DenoisingCode0
Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks—0
Feature-Align Network with Knowledge Distillation for Efficient Denoising—0
Accelerating Large Kernel Convolutions with Nested Winograd Transformation.pdf—0
Deep Unrolled Network for Video Super-Resolution—0
A GAN-Based Input-Size Flexibility Model for Single Image Dehazing—0
Plug-and-Play gradient-based denoisers applied to CT image enhancementCode0
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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