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 24912500 of 7282 papers

TitleStatusHype
Decomposition Ascribed Synergistic Learning for Unified Image Restoration0
Decomposable Nonlocal Tensor Dictionary Learning for Multispectral Image Denoising0
Augmented Robust PCA For Foreground-Background Separation on Noisy, Moving Camera Video0
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models0
Exploring Continual Learning of Diffusion Models0
Exploring Denoised Cross-Video Contrast for Weakly-Supervised Temporal Action Localization0
Exploring Diffusion with Test-Time Training on Efficient Image Restoration0
Factorized Diffusion: Perceptual Illusions by Noise Decomposition0
Fast, nonlocal and neural: a lightweight high quality solution to image denoising0
Flexible Multi-layer Sparse Approximations of Matrices and Applications0
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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