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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1781–1790 of 7282 papers

TitleStatusHype
BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis—0
An Effective Fusion Method to Enhance the Robustness of CNN—0
MDT-A2G: Exploring Masked Diffusion Transformers for Co-Speech Gesture Generation—0
Addressing Negative Transfer in Diffusion Models—0
DiffusER: Discrete Diffusion via Edit-based Reconstruction—0
Brain-Driven Representation Learning Based on Diffusion Model—0
BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment—0
An Early Fault Detection Method of Rotating Machines Based on Multiple Feature Fusion with Stacking Architecture—0
Accelerating Video Diffusion Models via Distribution Matching—0
Dynamic Point Cloud Denoising via Manifold-to-Manifold Distance—0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified