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 22812290 of 7282 papers

TitleStatusHype
Self-supervised conformal prediction for uncertainty quantification in Poisson imaging problems0
END: Early Noise Dropping for Efficient and Effective Context Denoising0
A Dual-Purpose Framework for Backdoor Defense and Backdoor Amplification in Diffusion Models0
On the Interpolation Effect of Score Smoothing0
DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches0
Leveraging Structural Knowledge in Diffusion Models for Source Localization in Data-Limited Graph Scenarios0
ToMCAT: Theory-of-Mind for Cooperative Agents in Teams via Multiagent Diffusion Policies0
DiffKAN-Inpainting: KAN-based Diffusion model for brain tumor inpainting0
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization0
Joint multiband deconvolution for Euclid and Vera C. Rubin images0
Show:102550
← PrevPage 229 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