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 34213430 of 7282 papers

TitleStatusHype
HSIDMamba: Exploring Bidirectional State-Space Models for Hyperspectral Denoising0
Improving Audio-Visual Video Parsing with Pseudo Visual Labels0
Array SAR 3D Sparse Imaging Based on Regularization by Denoising Under Few Observed Data0
HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models0
Controllable Person Image Synthesis with Pose-Constrained Latent Diffusion0
HTMD-Net: A Hybrid Masking-Denoising Approach to Time-Domain Monaural Singing Voice Separation0
TexGen: Text-Guided 3D Texture Generation with Multi-view Sampling and Resampling0
Enhancing CTR Prediction in Recommendation Domain with Search Query Representation0
Enhancing Crowdsourced Audio for Text-to-Speech Models0
ART: Artifact Removal Transformer for Reconstructing Noise-Free Multichannel Electroencephalographic Signals0
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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