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 27012710 of 7282 papers

TitleStatusHype
Efficient and Scalable Graph Generation through Iterative Local ExpansionCode1
BDHT: Generative AI Enables Causality Analysis for Mild Cognitive Impairment0
Reconstruction of Sound Field through Diffusion Models0
LIME: Localized Image Editing via Attention Regularization in Diffusion Models0
ReCoRe: Regularized Contrastive Representation Learning of World Model0
A framework for conditional diffusion modelling with applications in motif scaffolding for protein design0
LatentEditor: Text Driven Local Editing of 3D ScenesCode1
Session-Based Recommendation by Exploiting Substitutable and Complementary Relationships from Multi-behavior Data0
World Models via Policy-Guided Trajectory DiffusionCode1
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise ToleranceCode1
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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