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 16611670 of 7282 papers

TitleStatusHype
3D Quasi-Recurrent Neural Network for Hyperspectral Image DenoisingCode1
Show, Edit and Tell: A Framework for Editing Image CaptionsCode1
Unsupervised Interpretable Representation Learning for Singing Voice SeparationCode1
Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude EstimationCode1
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging ProblemsCode1
Self-Supervised Poisson-Gaussian DenoisingCode1
Replacing Mobile Camera ISP with a Single Deep Learning ModelCode1
Noise2Inverse: Self-supervised deep convolutional denoising for tomographyCode1
Spatial-Adaptive Network for Single Image DenoisingCode1
Multilingual Denoising Pre-training for Neural Machine TranslationCode1
Show:102550
← PrevPage 167 of 729Next →

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