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 47414750 of 7282 papers

TitleStatusHype
Learning the Night Sky with Deep Generative Priors0
Learning the Structure for Structured Sparsity0
Learning to Aggregate and Refine Noisy Labels for Visual Sentiment Analysis0
A Deep Learning based Detection Method for Combined Integrity-Availability Cyber Attacks in Power System0
Learning to Clean: A GAN Perspective0
Wavelet-based Topological Loss for Low-Light Image Denoising0
Tongji University Undergraduate Team for the VoxCeleb Speaker Recognition Challenge20200
Learning to Distill: The Essence Vector Modeling Framework0
Wavelet Denoising and Attention-based RNN-ARIMA Model to Predict Forex Price0
Learning to Efficiently Sample from Diffusion Probabilistic Models0
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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