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 41114120 of 7282 papers

TitleStatusHype
Expressive probabilistic sampling in recurrent neural networksCode0
Regularization by Neural Style Transfer for MRI Field-Transfer Reconstruction with Limited DataCode0
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE DiscoveryCode0
Semantic-Human: Neural Rendering of Humans from Monocular Video with Human Parsing0
An adaptively inexact first-order method for bilevel optimization with application to hyperparameter learningCode0
Semi-Implicit Variational Inference via Score MatchingCode0
Denoising Diffusion for 3D Hand Pose Estimation from Images0
DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement0
Language-Guided Diffusion Model for Visual GroundingCode0
Synergistic Signal Denoising for Multimodal Time Series of Structure Vibration0
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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