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 17011710 of 7282 papers

TitleStatusHype
Deep Speech Synthesis from MRI-Based Articulatory RepresentationsCode1
Deep Multi-Threshold Spiking-UNet for Image ProcessingCode1
MCDDPM: Multichannel Conditional Denoising Diffusion Model for Unsupervised Anomaly Detection in Brain MRICode1
Memory-Efficient Hierarchical Neural Architecture Search for Image DenoisingCode1
ISCL: Interdependent Self-Cooperative Learning for Unpaired Image DenoisingCode1
Probabilistic Noise2Void: Unsupervised Content-Aware DenoisingCode1
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion ModelsCode1
DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised h-transformCode1
Iterative Gaussianization: from ICA to Random RotationsCode1
An Evaluation of Deep Learning Models for Stock Market Trend PredictionCode1
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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