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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 6876–6900 of 7282 papers

TitleStatusHype
Hybrid Spatial-spectral Neural Network for Hyperspectral Image DenoisingCode0
Dynamic Negative Guidance of Diffusion ModelsCode0
Product of Gaussian Mixture Diffusion ModelsCode0
Debiased Recommendation with Noisy FeedbackCode0
ProGen: Revisiting Probabilistic Spatial-Temporal Time Series Forecasting from a Continuous Generative Perspective Using Stochastic Differential EquationsCode0
ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight ConditionsCode0
HyperAid: Denoising in hyperbolic spaces for tree-fitting and hierarchical clusteringCode0
Robust Graph Clustering via Meta Weighting for Noisy GraphsCode0
Novel Diffusion Models for Multimodal 3D Hand Trajectory PredictionCode0
LIDIA: Lightweight Learned Image Denoising with Instance AdaptationCode0
Hyperparameter selection for Discrete Mumford-ShahCode0
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and GenerationCode0
A Heat Diffusion Perspective on Geodesic Preserving Dimensionality ReductionCode0
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse CodingCode0
Robust Graph Filter Identification and Graph Denoising from Signal ObservationsCode0
Novel Hybrid Integrated Pix2Pix and WGAN Model with Gradient Penalty for Binary Images DenoisingCode0
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse RepresentationsCode0
Robust graph-filter identification with graph denoising regularizationCode0
ECG Artifact Removal from Single-Channel Surface EMG Using Fully Convolutional NetworksCode0
Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure PurificationCode0
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural NetworkCode0
Robust Graph Neural Network based on Graph DenoisingCode0
A Unified View on Graph Neural Networks as Graph Signal DenoisingCode0
SIDAR: Synthetic Image Dataset for Alignment & RestorationCode0
Hyperspectral Image Denoising via Self-Modulating Convolutional Neural NetworksCode0
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All datasetsDarmstadt Noise DatasetDIV2KDNDiris

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SINDyPSNR81—Unverified
2Pixel-shuffling DownsamplingPSNR38.4—Unverified
3TWSCPSNR37.93—Unverified
4CBDNet(Syn)PSNR37.57—Unverified
5MCWNNMPSNR37.38—Unverified
6Han et alPSNR35.95—Unverified
7FFDNetPSNR34.4—Unverified
8TNRDPSNR33.65—Unverified
9CDnCNN-BPSNR32.43—Unverified
10NLRNPSNR30.8—Unverified
#ModelMetricClaimedVerifiedStatus
1DRUnet_Poisson_0.01Average PSNR (dB)33.92—Unverified
#ModelMetricClaimedVerifiedStatus
1DRANetAverage PSNR39.64—Unverified
#ModelMetricClaimedVerifiedStatus
1PCNN+RL+HMEAverage84.61—Unverified