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 521530 of 1459 papers

TitleStatusHype
Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at InitializationCode0
CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual InferenceCode0
A regularized deep matrix factorized model of matrix completion for image restorationCode0
Patch-Craft Self-Supervised Training for Correlated Image DenoisingCode0
Photon-Limited Blind Deconvolution using Unsupervised Iterative Kernel EstimationCode0
Non-Local Recurrent Network for Image RestorationCode0
Distilling Image Dehazing With Heterogeneous Task ImitationCode0
Distilled Pooling Transformer Encoder for Efficient Realistic Image DehazingCode0
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy ImagesCode0
Neural Nearest Neighbors NetworksCode0
Show:102550
← PrevPage 53 of 146Next →

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