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 33613370 of 7282 papers

TitleStatusHype
Weighted Anisotropic-Isotropic Total Variation for Poisson DenoisingCode0
Counting Guidance for High Fidelity Text-to-Image Synthesis0
Graph Denoising Diffusion for Inverse Protein FoldingCode1
Designing Stable Neural Networks using Convex Analysis and ODEsCode0
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph GenerationCode0
Deep Denoising Prior-Based Spectral Estimation for Phaseless Synthetic Aperture Radar0
Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation0
Spiking Denoising Diffusion Probabilistic ModelsCode1
ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models0
SVNR: Spatially-variant Noise Removal with Denoising 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