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 28112820 of 7282 papers

TitleStatusHype
Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE) for Speech Feature Enhancement0
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization0
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning0
Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion0
Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint0
Correction by Projection: Denoising Images with Generative Adversarial Networks0
A Simple Analysis of Discretization Error in Diffusion Models0
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training0
Fast and Light-Weight Network for Single Frame Structured Illumination Microscopy Super-Resolution0
Explicit Diffusion of Gaussian Mixture Model Based Image Priors0
Show:102550
← PrevPage 282 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