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 891900 of 1459 papers

TitleStatusHype
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex RegularizationCode1
VRT: A Video Restoration TransformerCode3
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic ModelCode1
Denoising Diffusion Restoration ModelsCode2
Revisiting L1 Loss in Super-Resolution: A Probabilistic View and Beyond0
MAXIM: Multi-Axis MLP for Image ProcessingCode3
Tensor Wiener Filter0
RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images0
RFormer: Transformer-based Generative Adversarial Network for Real Fundus Image Restoration on A New Clinical BenchmarkCode1
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality AssessmentCode0
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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