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 28312840 of 7282 papers

TitleStatusHype
Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis0
Crowd Counting in Harsh Weather using Image Denoising with Pix2Pix GANs0
Fast Easy Unsupervised Domain Adaptation with Marginalized Structured Dropout0
Explaining Anomalies using Denoising Autoencoders for Financial Tabular Data0
Faster gradient descent and the efficient recovery of images0
Fast graph-based denoising for point cloud color information0
FAST-GSC: Fast and Adaptive Semantic Transmission for Generative Semantic Communication0
Explainable Synthetic Image Detection through Diffusion Timestep Ensembling0
CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation0
ASIC Implementation of Denoising Filters for Pacemakers0
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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