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 44514460 of 7282 papers

TitleStatusHype
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET DenoisingCode0
Variational Denoising for Variational Quantum Eigensolver0
AMC-Net: An Effective Network for Automatic Modulation Classification0
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning0
HDR Imaging with Spatially Varying Signal-to-Noise Ratios0
Steered Mixture of Experts Regression for Image Denoising with Multi-Model-Inference0
Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration0
The G-invariant graph Laplacian0
Robust Andrew's sine estimate adaptive filtering0
Diffusion Schrödinger Bridge Matching0
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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