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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4271–4280 of 7282 papers

TitleStatusHype
On change point detection using the fused lasso method—0
On Convergent Finite Difference Schemes for Variational - PDE Based Image Processing—0
Weighted Schatten p-Norm Minimization for Image Denoising and Background Subtraction—0
On denoising autoencoders trained to minimise binary cross-entropy—0
On denoising modulo 1 samples of a function—0
On Denoising Walking Videos for Gait Recognition—0
Adaptive Caching for Faster Video Generation with Diffusion Transformers—0
Weighted Schatten p-Norm Minimization for Image Denoising with Local and Nonlocal Regularization—0
OneActor: Consistent Character Generation via Cluster-Conditioned Guidance—0
One-dimensional Deep Image Prior for Time Series Inverse Problems—0
Show:102550
← PrevPage 428 of 729Next →
All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified