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 22212230 of 7282 papers

TitleStatusHype
Investigating the effect of residual and highway connections in speech enhancement modelsCode0
Invertible generative models for inverse problems: mitigating representation error and dataset biasCode0
A Bayesian Perspective on the Deep Image PriorCode0
Invertible Kernel PCA with Random Fourier FeaturesCode0
Iterative PET Image Reconstruction Using Convolutional Neural Network RepresentationCode0
Invariant Risk Minimization Is A Total Variation ModelCode0
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature DenoiserCode0
CUR Transformer: A Convolutional Unbiased Regional Transformer for Image DenoisingCode0
Interspeech 2021 Deep Noise Suppression ChallengeCode0
A Generative Adversarial Approach To ECG Synthesis And DenoisingCode0
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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