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 261270 of 1459 papers

TitleStatusHype
HQ-50K: A Large-scale, High-quality Dataset for Image RestorationCode1
BokehOrNot: Transforming Bokeh Effect with Image Transformer and Lens Metadata EmbeddingCode1
Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image RestorationCode1
GridFormer: Residual Dense Transformer with Grid Structure for Image Restoration in Adverse Weather ConditionsCode1
UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and InterpolationCode1
WaveDM: Wavelet-Based Diffusion Models for Image RestorationCode1
Restore Anything Pipeline: Segment Anything Meets Image RestorationCode1
Reciprocal Attention Mixing Transformer for Lightweight Image RestorationCode1
SS-BSN: Attentive Blind-Spot Network for Self-Supervised Denoising with Nonlocal Self-SimilarityCode1
Principal Uncertainty Quantification with Spatial Correlation for Image Restoration ProblemsCode1
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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