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 101110 of 1459 papers

TitleStatusHype
Fractal-IR: A Unified Framework for Efficient and Scalable Image Restoration0
Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks0
UniCoRN: Latent Diffusion-based Unified Controllable Image Restoration Network across Multiple Degradations0
Efficient Bayesian Computation Using Plug-and-Play Priors for Poisson Inverse Problems0
DIPLI: Deep Image Prior Lucky Imaging for Blind Astronomical Image Restoration0
Intra and Inter Parser-Prompted Transformers for Effective Image RestorationCode0
SIR-DIFF: Sparse Image Sets Restoration with Multi-View Diffusion Model0
Towards properties of adversarial image perturbations0
From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral PerspectiveCode1
Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion0
Show:102550
← PrevPage 11 of 146Next →

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