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 43614370 of 7282 papers

TitleStatusHype
Adapting Sentence Transformers for the Aviation Domain0
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image ReconstructionCode0
To smooth a cloud or to pin it down: Guarantees and Insights on Score Matching in Denoising Diffusion Models0
Toward Moiré-Free and Detail-Preserving Demosaicking0
Neural information coding for efficient spike-based image denoising0
Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts0
On enhancing the robustness of Vision Transformers: Defensive DiffusionCode0
Blockchain Transaction Fee Forecasting: A Comparison of Machine Learning MethodsCode0
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz0
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior0
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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