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 15011510 of 7282 papers

TitleStatusHype
Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient MaskCode1
Self-supervised Low Light Image Enhancement and DenoisingCode1
Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-CaseCode1
Uncertainty-aware Generalized Adaptive CycleGANCode1
Denoising Higher-order Moments for Blind Digital Modulation Identification in Multiple-antenna SystemsCode1
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image DenoisingCode1
Joint self-supervised blind denoising and noise estimationCode1
Intermediate Layer Optimization for Inverse Problems using Deep Generative ModelsCode1
Learning low-rank latent mesoscale structures in networksCode1
How Framelets Enhance Graph Neural NetworksCode1
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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