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 25912600 of 7282 papers

TitleStatusHype
Heavy-tailed denoising score matchingCode0
Using pretrained graph neural networks with token mixers as geometric featurizers for conformational dynamicsCode0
GeoGuide: Geometric guidance of diffusion modelsCode0
GeomCLIP: Contrastive Geometry-Text Pre-training for MoleculesCode0
Geometric-Facilitated Denoising Diffusion Model for 3D Molecule GenerationCode0
CNN-Based Real-Time Parameter Tuning for Optimizing Denoising Filter PerformanceCode0
GenPlan: Generative Sequence Models as Adaptive PlannersCode0
A distribution-dependent Mumford-Shah model for unsupervised hyperspectral image segmentationCode0
Generative Plug and Play: Posterior Sampling for Inverse ProblemsCode0
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation StudyCode0
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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