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 29812990 of 7282 papers

TitleStatusHype
Denosing Using Wavelets and Projections onto the L1-Ball0
BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping0
Boosting with Structural Sparsity: A Differential Inclusion Approach0
Anatomical-Guided Attention Enhances Unsupervised PET Image Denoising Performance0
DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches0
Boosting the Performance of Plug-and-Play Priors via Denoiser Scaling0
denoiSplit: a method for joint microscopy image splitting and unsupervised denoising0
Denoising Word Embeddings by Averaging in a Shared Space0
An Artificial Intelligence Enabled Signature Estimation of Dual Wideband Systems in Ultra-Low Signal-to-Noise Ratio0
Add and Thin: Diffusion for Temporal Point Processes0
Show:102550
← PrevPage 299 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