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 39713980 of 7282 papers

TitleStatusHype
DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits AnimationCode2
Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models0
CLASH: Contrastive learning through alignment shifting to extract stimulus information from EEG0
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --0
Generative Time Series Forecasting with Diffusion, Denoise, and DisentanglementCode2
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising0
Deep learning for full-field ultrasonic characterization0
WIRE: Wavelet Implicit Neural RepresentationsCode1
Skip-Attention: Improving Vision Transformers by Paying Less Attention0
PENDANTSS: PEnalized Norm-ratios Disentangling Additive Noise, Trend and Sparse SpikesCode0
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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