SOTAVerified

Denoising

Denoising is a task in image processing and computer vision that aims to remove or reduce noise from an image. Noise can be introduced into an image due to various reasons, such as camera sensor limitations, lighting conditions, and compression artifacts. The goal of denoising is to recover the original image, which is considered to be noise-free, from a noisy observation.

( Image credit: Beyond a Gaussian Denoiser )

Papers

Showing 15811590 of 7282 papers

TitleStatusHype
Open-set Adversarial DefenseCode1
Unpaired Learning of Deep Image DenoisingCode1
FLIP: A Difference Evaluator for Alternating ImagesCode1
Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applicationsCode1
Deep Variational Network Toward Blind Image RestorationCode1
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image PriorCode1
Improving Blind Spot Denoising for MicroscopyCode1
Homotopic Gradients of Generative Density Priors for MR Image ReconstructionCode1
Distantly Supervised Relation Extraction in Federated SettingsCode1
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection SystemsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81Unverified
2Pixel-shuffling DownsamplingPSNR38.4Unverified
3TWSCPSNR37.93Unverified
4CBDNet(Syn)PSNR37.57Unverified
5MCWNNMPSNR37.38Unverified
6Han et alPSNR35.95Unverified
7FFDNetPSNR34.4Unverified
8TNRDPSNR33.65Unverified
9CDnCNN-BPSNR32.43Unverified
10NLRNPSNR30.8Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61Unverified