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 19211930 of 7282 papers

TitleStatusHype
Diffusion Priors In Variational Autoencoders0
Denoising via Repainting: an image denoising method using layer wise medical image repainting0
DiffusionRIR: Room Impulse Response Interpolation using Diffusion Models0
Denoising Weak Lensing Mass Maps with Deep Learning0
Denoising with a Joint-Embedding Predictive Architecture0
Denoising without access to clean data using a partitioned autoencoder0
Denoising Heat-inspired Diffusion with Insulators for Collision Free Motion Planning0
denoiSplit: a method for joint microscopy image splitting and unsupervised denoising0
DenoMAE2.0: Improving Denoising Masked Autoencoders by Classifying Local Patches0
Blind Biological Sequence Denoising with Self-Supervised Set Learning0
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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