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

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Showing 2526–2550 of 7282 papers

TitleStatusHype
A Novel Truncated Norm Regularization Method for Multi-channel Color Image DenoisingCode0
Higher fidelity perceptual image and video compression with a latent conditioned residual denoising diffusion modelCode0
Highly Undersampled MRI Reconstruction via a Single Posterior Sampling of Diffusion ModelsCode0
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AICode0
Distributed Convolutional Dictionary Learning (DiCoDiLe): Pattern Discovery in Large Images and SignalsCode0
A Complementary Global and Local Knowledge Network for Ultrasound denoising with Fine-grained RefinementCode0
Hierarchical Relational Networks for Group Activity Recognition and RetrievalCode0
Heteroskedastic PCA: Algorithm, Optimality, and ApplicationsCode0
Efficient Manifold and Subspace Approximations with SphereletsCode0
H-FND: Hierarchical False-Negative Denoising for Distant Supervision Relation ExtractionCode0
Heavy-tailed denoising score matchingCode0
HERALD: An Annotation Efficient Method to Detect User Disengagement in Social ConversationsCode0
Hiding Images in Diffusion Models by Editing Learned Score FunctionsCode0
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint GraphsCode0
Efficient Off-Grid Bayesian Parameter Estimation for Kronecker-Structured SignalsCode0
HDRUNet: Single Image HDR Reconstruction with Denoising and DequantizationCode0
HKF: Hierarchical Kalman Filtering with Online Learned Evolution Priors for Adaptive ECG DenoisingCode0
Haar-Laplacian for directed graphsCode0
Half-sibling regression meets exoplanet imaging: PSF modeling and subtraction using a flexible, domain knowledge-driven, causal frameworkCode0
DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise CleaningCode0
Guided Image Synthesis via Initial Image Editing in Diffusion ModelCode0
HandDAGT: A Denoising Adaptive Graph Transformer for 3D Hand Pose EstimationCode0
Learning-Based Reconstruction of FRI SignalsCode0
Constrained and unconstrained deep image prior optimization models with automatic regularizationCode0
Anatomical Priors for Image Segmentation via Post-Processing with Denoising AutoencodersCode0
Show:102550
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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