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 25912600 of 7282 papers

TitleStatusHype
Paired Wasserstein Autoencoders for Conditional Sampling0
Mobile Video Diffusion0
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural NetworksCode0
A Progressive Image Restoration Network for High-order Degradation Imaging in Remote Sensing0
Closed-Form Approximation of the Total Variation Proximal Operator0
Anomaly detection using Diffusion-based methods0
Score-Optimal Diffusion Schedules0
You KAN Do It in a Single Shot: Plug-and-Play Methods with Single-Instance Priors0
Generative Lines Matching Models0
ASGDiffusion: Parallel High-Resolution Generation with Asynchronous Structure Guidance0
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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