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 27212730 of 7282 papers

TitleStatusHype
Video Denoising in Fluorescence Guided Surgery0
Graph Neural Networks and Differential Equations: A hybrid approach for data assimilation of fluid flows0
Iterative tomographic reconstruction with TV prior for low-dose CBCT dental imaging0
DeBaTeR: Denoising Bipartite Temporal Graph for Recommendation0
A survey of probabilistic generative frameworks for molecular simulationsCode0
EEG-Based Speech Decoding: A Novel Approach Using Multi-Kernel Ensemble Diffusion Models0
DiffRoad: Realistic and Diverse Road Scenario Generation for Autonomous Vehicle Testing0
Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified RobustnessCode0
DNN Task Assignment in UAV Networks: A Generative AI Enhanced Multi-Agent Reinforcement Learning Approach0
Explainable Deep Learning Framework for SERS Bio-quantification0
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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