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 25012510 of 7282 papers

TitleStatusHype
AI Generated Signal for Wireless Sensing0
Distributed Machine Learning with Sparse Heterogeneous Data0
DECDM: Document Enhancement using Cycle-Consistent Diffusion Models0
Audio Classical Composer Identification by Deep Neural Network0
Decay2Distill: Leveraging spatial perturbation and regularization for self-supervised image denoising0
DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism0
Audio Attacks and Defenses against AED Systems -- A Practical Study0
Exploring Diffusion with Test-Time Training on Efficient Image Restoration0
A Blind Multiscale Spatial Regularization Framework for Kernel-based Spectral Unmixing0
Exploring Continual Learning of Diffusion Models0
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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