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 391400 of 1459 papers

TitleStatusHype
Noise2Noise: Learning Image Restoration without Clean DataCode1
Learning A Coarse-to-Fine Diffusion Transformer for Image RestorationCode1
Attention-Guided Low-Rank Tensor CompletionCode1
Learning A Locally Unified 3D Point Cloud for View SynthesisCode1
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasksCode1
Diffusion Posterior Proximal Sampling for Image RestorationCode1
DREB-Net: Dual-stream Restoration Embedding Blur-feature Fusion Network for High-mobility UAV Object DetectionCode1
Diffusion Priors for Variational Likelihood Estimation and Image DenoisingCode1
Attention Cube Network for Image RestorationCode1
A Mountain-Shaped Single-Stage Network for Accurate Image RestorationCode1
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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