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 31913200 of 7282 papers

TitleStatusHype
Equivariant Denoisers for Image Restoration0
Convergent regularization in inverse problems and linear plug-and-play denoisers0
Deep Gaussian Conditional Random Field Network: A Model-based Deep Network for Discriminative Denoising0
Improved Techniques for Adversarial Discriminative Domain Adaptation0
Geometric and Learning-based Mesh Denoising: A Comprehensive Survey0
Geometric Constraints in Probabilistic Manifolds: A Bridge from Molecular Dynamics to Structured Diffusion Processes0
Deep Generative Models for 3D Medical Image Synthesis0
Geometric Machine Learning on EEG Signals0
ASD-Diffusion: Anomalous Sound Detection with Diffusion Models0
EP-CFG: Energy-Preserving Classifier-Free 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