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 22412250 of 7282 papers

TitleStatusHype
DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation0
Debiasing Cardiac Imaging with Controlled Latent Diffusion ModelsCode0
QNCD: Quantization Noise Correction for Diffusion ModelsCode0
ECNet: Effective Controllable Text-to-Image Diffusion Models0
FlexEdit: Flexible and Controllable Diffusion-based Object-centric Image Editing0
SingularTrajectory: Universal Trajectory Predictor Using Diffusion ModelCode2
LayoutFlow: Flow Matching for Layout Generation0
Noise-Robust Keyword Spotting through Self-supervised PretrainingCode0
U-Sketch: An Efficient Approach for Sketch to Image Diffusion Models0
Ship in Sight: Diffusion Models for Ship-Image Super ResolutionCode1
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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