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 19311940 of 7282 papers

TitleStatusHype
Let SSMs be ConvNets: State-space Modeling with Optimal Tensor ContractionsCode0
Leveraging Deep Stein's Unbiased Risk Estimator for Unsupervised X-ray DenoisingCode0
LED: A Large-scale Real-world Paired Dataset for Event Camera DenoisingCode0
Dendritic error backpropagation in deep cortical microcircuitsCode0
Learning with Noisy Labels by Adaptive Gradient-Based Outlier RemovalCode0
BNEM: A Boltzmann Sampler Based on Bootstrapped Noised Energy MatchingCode0
Learning to Separate Object Sounds by Watching Unlabeled VideoCode0
Démélange, déconvolution et débruitage conjoints d'un modèle convolutif parcimonieux avec dérive instrumentale, par pénalisation de rapports de normes ou quasi-normes lissées (PENDANTSS)Code0
Benchmarking multi-component signal processing methods in the time-frequency planeCode0
Adaptive Long-term Embedding with Denoising and Augmentation for RecommendationCode0
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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