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 30813090 of 7282 papers

TitleStatusHype
Assessing the capacity of a denoising diffusion probabilistic model to reproduce spatial context0
Self2Seg: Single-Image Self-Supervised Joint Segmentation and DenoisingCode0
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising DiffusionCode1
Mixed Graph Signal Analysis of Joint Image Denoising / InterpolationCode0
Speech Synthesis By Unrolling Diffusion Process using Neural Network Layers0
Single and Few-step Diffusion for Generative Speech EnhancementCode1
Gradpaint: Gradient-Guided Inpainting with Diffusion Models0
Joint Demosaicing and Denoising with Double Deep Image Priors0
All-optical image denoising using a diffractive visual processor0
Continuous Modeling of the Denoising Process for Speech Enhancement Based on Deep Learning0
Show:102550
← PrevPage 309 of 729Next →

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