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 33713380 of 7282 papers

TitleStatusHype
SVNR: Spatially-variant Noise Removal with Denoising Diffusion0
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in RadiotherapyCode1
Face Morphing Attack Detection with Denoising Diffusion Probabilistic ModelsCode0
Statistical Component Separation for Targeted Signal Recovery in Noisy MixturesCode0
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis0
A denoised Mean Teacher for domain adaptive point cloud registrationCode0
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited DataCode0
A ground-based dataset and a diffusion model for on-orbit low-light image enhancement0
Deep learning-based deconvolution for interferometric radio transient reconstructionCode0
Simultaneous Image-to-Zero and Zero-to-Noise: Diffusion Models with Analytical Image AttenuationCode1
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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