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 46614670 of 7282 papers

TitleStatusHype
ADIR: Adaptive Diffusion for Image Reconstruction0
Sources of Noise in Dialogue and How to Deal with Them0
Denoising diffusion probabilistic models for probabilistic energy forecasting0
Neural Cell Video Synthesis via Optical-Flow Diffusion0
Domino Denoise: An Accurate Blind Zero-Shot Denoiser using Domino Tilings0
PhysDiff: Physics-Guided Human Motion Diffusion Model0
Multiscale Structure Guided Diffusion for Image Deblurring0
Improving End-to-end Speech Translation by Leveraging Auxiliary Speech and Text Data0
Interferometric Passive Radar Imaging with Deep Denoising Priors0
DiffRF: Rendering-Guided 3D Radiance Field Diffusion0
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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