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 8190 of 1459 papers

TitleStatusHype
Diffusion Models for Image Restoration and Enhancement -- A Comprehensive SurveyCode2
Benchmarking Laparoscopic Surgical Image Restoration and BeyondCode2
Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse ProblemsCode2
Dual-domain strip attention for image restorationCode2
Bracketing Image Restoration and Enhancement with High-Low Frequency DecompositionCode2
Efficient Visual State Space Model for Image DeblurringCode2
Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image RestorationCode2
Improving Diffusion Inverse Problem Solving with Decoupled Noise AnnealingCode2
KBNet: Kernel Basis Network for Image RestorationCode2
A Survey of Deep Face Restoration: Denoise, Super-Resolution, Deblur, Artifact RemovalCode2
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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