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 951960 of 7282 papers

TitleStatusHype
Block-wise Minimization-Majorization algorithm for Huber's criterion: sparse learning and applicationsCode1
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in RadiotherapyCode1
From Denoising to Compressed SensingCode1
Fully Spiking Denoising Diffusion Implicit ModelsCode1
Goal-Conditioned Imitation Learning using Score-based Diffusion PoliciesCode1
DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh RecoveryCode1
DPM-OT: A New Diffusion Probabilistic Model Based on Optimal TransportCode1
Learning Robust Recommender from Noisy Implicit FeedbackCode1
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
Convolutional Proximal Neural Networks and Plug-and-Play AlgorithmsCode1
Show:102550
← PrevPage 96 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