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 18211830 of 7282 papers

TitleStatusHype
A data-driven modular architecture with denoising autoencoders for health indicator construction in a manufacturing process0
Accelerating Diffusion Sampling via Exploiting Local Transition Coherence0
An Analysis on Quantizing Diffusion Transformers0
BM3D vs 2-Layer ONN0
Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity0
Blurring Diffusion Models0
Blockwise SURE Shrinkage for Non-Local Means0
AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising0
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising0
Block-wise Adaptive Caching for Accelerating Diffusion Policy0
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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