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 17111720 of 7282 papers

TitleStatusHype
Denoising Diffusion Models for 3D Healthy Brain Tissue InpaintingCode1
Deep Universal Blind Image DenoisingCode1
A Bayesian Model of Dose-Response for Cancer Drug StudiesCode1
Joint Demosaicing and Denoising With Self GuidanceCode1
G-SimCLR: Self-Supervised Contrastive Learning with Guided Projection via Pseudo LabellingCode1
Joint Frequency and Image Space Learning for MRI Reconstruction and AnalysisCode1
TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizingCode1
Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image DatasetCode1
Microscopy image reconstruction with physics-informed denoising diffusion probabilistic modelCode1
MM-BSN: Self-Supervised Image Denoising for Real-World with Multi-Mask based on Blind-Spot NetworkCode1
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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