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 911920 of 1459 papers

TitleStatusHype
GaussianPU: A Hybrid 2D-3D Upsampling Framework for Enhancing Color Point Clouds via 3D Gaussian Splatting0
GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration0
Generalizable Pancreas Segmentation via a Dual Self-Supervised Learning Framework0
Generalization of the Dark Channel Prior for Single Image Restoration0
Generalized Expectation Maximization Framework for Blind Image Super Resolution0
From Group Sparse Coding to Rank Minimization: A Novel Denoising Model for Low-level Image Restoration0
Generative Adversarial Network based on Resnet for Conditional Image Restoration0
Generative Adversarial Network on Motion-Blur Image Restoration0
Generative Adversarial Networks and Perceptual Losses for Video Super-Resolution0
Generative Diffusion Prior for Unified Image Restoration and Enhancement0
Show:102550
← PrevPage 92 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