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 34113420 of 7282 papers

TitleStatusHype
3D molecule generation by denoising voxel gridsCode1
VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion ModelsCode1
Deep Ultrasound Denoising Using Diffusion Probabilistic Models0
HiddenSinger: High-Quality Singing Voice Synthesis via Neural Audio Codec and Latent Diffusion Models0
Generative Plug and Play: Posterior Sampling for Inverse ProblemsCode0
Deep denoising autoencoder-based non-invasive blood flow detection for arteriovenous fistula0
Diffusion Models for Black-Box OptimizationCode1
A Deep Unrolling Model with Hybrid Optimization Structure for Hyperspectral Image Deconvolution0
Boosting Fast and High-Quality Speech Synthesis with Linear Diffusion0
One-shot Learning for Channel Estimation in Massive MIMO Systems0
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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