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 20712080 of 7282 papers

TitleStatusHype
Learned Convolutional Sparse CodingCode0
Deep learning-based deconvolution for interferometric radio transient reconstructionCode0
Deep Learning-Based Channel EstimationCode0
Automatic Tuning of Denoising Algorithms Parameters Without Ground TruthCode0
Large Graph Signal Denoising with Application to Differential PrivacyCode0
Language Model Preference Evaluation with Multiple Weak EvaluatorsCode0
Language-Guided Diffusion Model for Visual GroundingCode0
Learned D-AMP: Principled Neural Network based Compressive Image RecoveryCode0
Resurrecting Label Propagation for Graphs with Heterophily and Label NoiseCode0
DeepISP: Towards Learning an End-to-End Image Processing PipelineCode0
Show:102550
← PrevPage 208 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