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 47514760 of 7282 papers

TitleStatusHype
Learning to Generate Genotypes with Neural Networks0
Topology Guidance: Controlling the Outputs of Generative Models via Vector Field Topology0
Total-Body Low-Dose CT Image Denoising using Prior Knowledge Transfer Technique with Contrastive Regularization Mechanism0
Learning to Navigate by Growing Deep Networks0
Representation Learning for High-Dimensional Data Collection under Local Differential Privacy0
Learning to Predict on Octree for Scalable Point Cloud Geometry Coding0
Learning to Rank Broad and Narrow Queries in E-Commerce0
Learning to Rank Intents in Voice Assistants0
A Deep Learning Approach to Structured Signal Recovery0
Learning to See Low-Light Images via Feature Domain Adaptation0
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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