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 21512160 of 7282 papers

TitleStatusHype
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source SeparationCode0
Joint inference and input optimization in equilibrium networksCode0
Joint Visual Denoising and Classification using Deep LearningCode0
Unmasking Bias in Diffusion Model TrainingCode0
Debiasing Cardiac Imaging with Controlled Latent Diffusion ModelsCode0
Debiased Recommendation with Noisy FeedbackCode0
Adaptive 3D descattering with a dynamic synthesis networkCode0
A Two-stage Deep Network for High Dynamic Range Image ReconstructionCode0
Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video DenoisingCode0
Iterative Joint Image Demosaicking and Denoising using a Residual Denoising NetworkCode0
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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