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 40414050 of 7282 papers

TitleStatusHype
fMRI-based Static and Dynamic Functional Connectivity Analysis for Post-stroke Motor Dysfunction Patient: A Review0
UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units0
DeFT-AN: Dense Frequency-Time Attentive Network for Multichannel Speech EnhancementCode1
Diffusion Probabilistic Models beat GANs on Medical ImagesCode2
Single Cell Training on Architecture Search for Image Denoising0
How to Backdoor Diffusion Models?Code1
Learning to adapt unknown noise for hyperspectral image denoising0
Noise2Contrast: Multi-Contrast Fusion Enables Self-Supervised Tomographic Image Denoising0
Attention in a family of Boltzmann machines emerging from modern Hopfield networksCode0
Denoising Self-attentive Sequential Recommendation0
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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