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 851860 of 7282 papers

TitleStatusHype
3D Vessel Graph Generation Using Denoising DiffusionCode1
Galaxy Image Deconvolution for Weak Gravitational Lensing with Unrolled Plug-and-Play ADMMCode1
Denoising Masked AutoEncoders Help Robust ClassificationCode1
Gated Multi-Resolution Transfer Network for Burst Restoration and EnhancementCode1
Denoising Normalizing FlowCode1
A Bayesian Model of Dose-Response for Cancer Drug StudiesCode1
Denoising Higher-order Moments for Blind Digital Modulation Identification in Multiple-antenna SystemsCode1
Generalization in diffusion models arises from geometry-adaptive harmonic representationsCode1
Adversarial purification with Score-based generative modelsCode1
Denoising Implicit Feedback for RecommendationCode1
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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