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 3101–3110 of 7282 papers

TitleStatusHype
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems—0
Convex Variational Image Restoration with Histogram Priors—0
Generalized Intersection Algorithms with Fixpoints for Image Decomposition Learning—0
Decouple-Then-Merge: Towards Better Training for Diffusion Models—0
Generalized linear models with low rank effects for network data—0
A Self-supervised Diffusion Bridge for MRI Reconstruction—0
ESPnet-se: end-to-end speech enhancement and separation toolkit designed for asr integration—0
Convex Regularization Behind Neural Reconstruction—0
A Self-Supervised Denoising Strategy for Underwater Acoustic Camera Imageries—0
Error mitigation of entangled states using brainbox quantum autoencoders—0
Show:102550
← PrevPage 311 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