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 30413050 of 7282 papers

TitleStatusHype
Diffusion Posterior Illumination for Ambiguity-aware Inverse RenderingCode1
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation0
Denoising Diffusion Bridge ModelsCode2
Toward Universal Speech Enhancement for Diverse Input Conditions0
De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics0
Stochastic Digital Twin for Copy Detection Patterns0
Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative Memories and Diffusion Models0
SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion ModelsCode0
Space-Time Attention with Shifted Non-Local Search0
DiffGAN-F2S: Symmetric and Efficient Denoising Diffusion GANs for Structural Connectivity Prediction from Brain fMRI0
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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