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 6151–6200 of 7282 papers

TitleStatusHype
Discrete Object Generation with Reversible Inductive ConstructionCode0
Low-rank matrix completion and denoising under Poisson noise—0
Perturbation theory approach to study the latent space degeneracy of Variational Autoencoders—0
From Group Sparse Coding to Rank Minimization: A Novel Denoising Model for Low-level Image Restoration—0
A Projectional Ansatz to ReconstructionCode0
Convolutional dictionary learning based auto-encoders for natural exponential-family distributionsCode0
Fast and Provable ADMM for Learning with Generative Priors—0
Regularizing linear inverse problems with convolutional neural networks—0
Multi-level Wavelet Convolutional Neural NetworksCode0
Blind Universal Bayesian Image Denoising with Gaussian Noise Level LearningCode0
Feature-Based Image Clustering and Segmentation Using WaveletsCode0
Seismic data denoising and deblending using deep learning—0
Brno Mobile OCR DatasetCode0
Multilingual Unsupervised NMT using Shared Encoder and Language-Specific Decoders—0
MAAM: A Morphology-Aware Alignment Model for Unsupervised Bilingual Lexicon Induction—0
Unsupervised Bilingual Word Embedding Agreement for Unsupervised Neural Machine Translation—0
Self-supervised Hyperspectral Image Restoration using Separable Image Prior—0
Learning to Rank Broad and Narrow Queries in E-Commerce—0
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow EstimationCode0
Sparse Solutions of a Class of Constrained Optimization Problems—0
Automated characterization of noise distributions in diffusion MRI dataCode0
One Embedding To Do Them All—0
Sparsity-Assisted Signal Denoising and Pattern Recognition in Time-Series DataCode0
Leveraging Text Repetitions and Denoising Autoencoders in OCR Post-correction—0
Complex Signal Denoising and Interference Mitigation for Automotive Radar Using Convolutional Neural NetworksCode0
Fast Calculation of Probabilistic Optimal Power Flow: A Deep Learning Approach—0
Backpropagation-Friendly EigendecompositionCode1
Algorithmic Guarantees for Inverse Imaging with Untrained Network PriorsCode0
Denoising of MR images with Rician noise using a wider neural network and noise range divisionCode0
Noisy-As-Clean: Learning Self-supervised Denoising from the Corrupted ImageCode1
NLH: A Blind Pixel-level Non-local Method for Real-world Image DenoisingCode0
Back-Projection based Fidelity Term for Ill-Posed Linear Inverse ProblemsCode0
4D X-Ray CT Reconstruction using Multi-Slice Fusion—0
Deep neural network for fringe pattern filtering and normalisation—0
Robust and interpretable blind image denoising via bias-free convolutional neural networksCode0
Unsupervised Image Noise Modeling with Self-Consistent GAN—0
A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks—0
Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space—0
Localized Fourier Analysis for Graph Signal ProcessingCode0
Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval ManuscriptsCode0
Differentiable Surface Splatting for Point-based Geometry ProcessingCode0
A Bayesian Model of Dose-Response for Cancer Drug StudiesCode1
rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection MethodCode0
Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples—0
Convolutional Bipartite Attractor Networks—0
Nonconvex Approach for Sparse and Low-Rank Constrained Models with Dual Momentum—0
Data-driven Thresholding in Denoising with Spectral Graph Wavelet TransformCode0
Anatomical Priors for Image Segmentation via Post-Processing with Denoising AutoencodersCode0
DVDnet: A Fast Network for Deep Video DenoisingCode0
Learning Deep Image Priors for Blind Image Denoising—0
Show:102550
← PrevPage 124 of 146Next →
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