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 37913800 of 7282 papers

TitleStatusHype
Generating symbolic music using diffusion modelsCode0
Robust Preference-Guided Denoising for Graph based Social RecommendationCode1
Stochastic Segmentation with Conditional Categorical Diffusion ModelsCode1
Subspace Hybrid Beamforming for Head-worn Microphone Arrays0
The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion ModelsCode0
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion0
DiffusionAD: Norm-guided One-step Denoising Diffusion for Anomaly DetectionCode2
Towards Unsupervised Learning based Denoising of Cyber Physical System Data to Mitigate Security Concerns0
Guided Speech Enhancement Network0
DR2: Diffusion-based Robust Degradation Remover for Blind Face RestorationCode1
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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