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 31313140 of 7282 papers

TitleStatusHype
Illumination and Shadows in Head Rotation: experiments with Denoising Diffusion Models0
Generating Synthetic Net Load Data with Physics-informed Diffusion Model0
Error Correction in ASR using Sequence-to-Sequence Models0
Generative AI-Based Probabilistic Constellation Shaping With Diffusion Models0
Error Bounds for Flow Matching Methods0
Generative AI Models for Different Steps in Architectural Design: A Literature Review0
A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables0
Generative AI for Physical-Layer Authentication0
Error analysis for denoising smooth modulo signals on a graph0
On Convex Duality in Linear Inverse Problems0
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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