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

Showing 241250 of 1459 papers

TitleStatusHype
Beyond Degradation Redundancy: Contrastive Prompt Learning for All-in-One Image RestorationCode1
UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and InterpolationCode1
Conformer and Blind Noisy Students for Improved Image Quality AssessmentCode1
Asymmetric Mask Scheme for Self-Supervised Real Image DenoisingCode1
AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic ModelsCode1
ConStyle v2: A Strong Prompter for All-in-One Image RestorationCode1
Diffusion Posterior Proximal Sampling for Image RestorationCode1
Look-Up Table Compression for Efficient Image RestorationCode1
Beyond Degradation Conditions: All-in-One Image Restoration via HOG TransformersCode1
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMMCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OneRestoreAverage PSNR (dB)28.72Unverified
2SRUDCAverage PSNR (dB)27.64Unverified
3RestormerAverage PSNR (dB)26.99Unverified
4WGWSNetAverage PSNR (dB)26.96Unverified
5DGUNetAverage PSNR (dB)26.92Unverified
6OKNetAverage PSNR (dB)26.33Unverified
7MIRNetAverage PSNR (dB)25.97Unverified
8PromptIRAverage PSNR (dB)25.9Unverified
9MPRNetAverage PSNR (dB)25.47Unverified
10MIRNetv2Average PSNR (dB)25.37Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR22.42Unverified
2ESDNetPSNR22.12Unverified
#ModelMetricClaimedVerifiedStatus
1730L37Unverified