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 35113520 of 7282 papers

TitleStatusHype
Analysing Diffusion Segmentation for Medical Images0
QSMDiff: Unsupervised 3D Diffusion Models for Quantitative Susceptibility Mapping0
Powerful Lossy Compression for Noisy Images0
External Knowledge Enhanced 3D Scene Generation from Sketch0
Explorative Inbetweening of Time and Space0
Adversary-Robust Graph-Based Learning of WSIs0
Improving Robustness to Model Inversion Attacks via Sparse Coding ArchitecturesCode0
DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models0
DiffImpute: Tabular Data Imputation With Denoising Diffusion Probabilistic ModelCode0
IIDM: Image-to-Image Diffusion Model for Semantic Image SynthesisCode0
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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