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 32713280 of 7282 papers

TitleStatusHype
Convergence of the denoising diffusion probabilistic models for general noise schedules0
ENSURE: A General Approach for Unsupervised Training of Deep Image Reconstruction Algorithms0
Graph Signal Restoration Using Nested Deep Algorithm Unrolling0
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks0
Convergence of score-based generative modeling for general data distributions0
Graph Spatio-Spectral Total Variation Model for Hyperspectral Image Denoising0
Graph Unrolling Networks: Interpretable Neural Networks for Graph Signal Denoising0
Graph with Sequence: Broad-Range Semantic Modeling for Fake News Detection0
Convergence of gradient based pre-training in Denoising autoencoders0
Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks0
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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