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 30213030 of 7282 papers

TitleStatusHype
Blurring Diffusion Models0
Denoising Score Matching with Random Fourier Features0
Blockwise SURE Shrinkage for Non-Local Means0
Denoising Score Distillation: From Noisy Diffusion Pretraining to One-Step High-Quality Generation0
Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Latent Generation0
AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising0
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising0
Accelerating Linear Recurrent Neural Networks for the Edge with Unstructured Sparsity0
Denoising random forests0
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