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 25512560 of 7282 papers

TitleStatusHype
Anatomical Priors for Image Segmentation via Post-Processing with Denoising AutoencodersCode0
Haar-Laplacian for directed graphsCode0
How Control Information Influences Multilingual Text Image Generation and Editing?Code0
Learning Generative Models using Denoising Density EstimatorsCode0
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRICode0
Learning Priors in High-frequency Domain for Inverse Imaging ReconstructionCode0
Ground Truth Free Denoising by Optimal TransportCode0
Learning Joint Denoising, Demosaicing, and Compression from the Raw Natural Image Noise DatasetCode0
Grids Often Outperform Implicit Neural RepresentationsCode0
Graph Signal Recovery Using Restricted Boltzmann MachinesCode0
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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