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 491500 of 1459 papers

TitleStatusHype
Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image RestorationCode2
Exposure Bracketing Is All You Need For A High-Quality ImageCode2
UGPNet: Universal Generative Prior for Image Restoration0
Improving Image Restoration through Removing Degradations in Textual RepresentationsCode1
Restoration by Generation with Constrained Priors0
Personalized Restoration via Dual-Pivot Tuning0
DarkShot: Lighting Dark Images with Low-Compute and High-Quality0
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation0
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned GuidanceCode1
MuLA-GAN: Multi-Level Attention GAN for Enhanced Underwater Visibility0
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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