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 23912400 of 7282 papers

TitleStatusHype
Enhanced Confocal Laser Scanning Microscopy with Adaptive Physics Informed Deep Autoencoders0
On the locality bias and results in the Long Range Arena0
Sparse Mixture-of-Experts for Non-Uniform Noise Reduction in MRI Images0
EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems0
Binary Diffusion Probabilistic Model0
Radio Map Estimation via Latent Domain Plug-and-Play DenoisingCode0
Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction0
Robust Representation Consistency Model via Contrastive DenoisingCode0
Sequential Change Point Detection via Denoising Score Matching0
FDG-Diff: Frequency-Domain-Guided Diffusion Framework for Compressed Hazy Image RestorationCode0
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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