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 2201–2250 of 7282 papers

TitleStatusHype
Language-Aware Multilingual Machine Translation with Self-Supervised LearningCode0
Learning Dynamics of Linear Denoising AutoencodersCode0
DANAE: a denoising autoencoder for underwater attitude estimationCode0
DALI: Domain Adaptive LiDAR Object Detection via Distribution-level and Instance-level Pseudo Label DenoisingCode0
A Theoretically Guaranteed Quaternion Weighted Schatten p-norm Minimization Method for Color Image RestorationCode0
k-Sparse AutoencodersCode0
Knowledge Enhanced Multi-intent Transformer Network for RecommendationCode0
Kronecker-structured Sparse Vector Recovery with Application to IRS-MIMO Channel EstimationCode0
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised ActivationsCode0
KADEL: Knowledge-Aware Denoising Learning for Commit Message GenerationCode0
Joint Multi-Scale Tone Mapping and Denoising for HDR Image EnhancementCode0
D2Diff : A Dual Domain Diffusion Model for Accurate Multi-Contrast MRI SynthesisCode0
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source SeparationCode0
Cycle Consistent Adversarial Denoising Network for Multiphase Coronary CT AngiographyCode0
Joint Enhancement and Denoising Method via Sequential DecompositionCode0
Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw ImagesCode0
Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video DenoisingCode0
A Bayesian Perspective on the Deep Image PriorCode0
Joint inference and input optimization in equilibrium networksCode0
Joint Visual Denoising and Classification using Deep LearningCode0
Iterative PET Image Reconstruction Using Convolutional Neural Network RepresentationCode0
Iterative Learning for Joint Image Denoising and Motion Artifact Correction of 3D Brain MRICode0
CurvPnP: Plug-and-play Blind Image Restoration with Deep Curvature DenoiserCode0
CUR Transformer: A Convolutional Unbiased Regional Transformer for Image DenoisingCode0
Iterative Camera-LiDAR Extrinsic Optimization via Surrogate DiffusionCode0
A Generative Adversarial Approach To ECG Synthesis And DenoisingCode0
Iterative Residual CNNs for Burst Photography ApplicationsCode0
A survey of probabilistic generative frameworks for molecular simulationsCode0
IRConStyle: Image Restoration Framework Using Contrastive Learning and Style TransferCode0
Invertible generative models for inverse problems: mitigating representation error and dataset biasCode0
Invertible Kernel PCA with Random Fourier FeaturesCode0
Investigating the effect of residual and highway connections in speech enhancement modelsCode0
Isotropic and Steerable Wavelets in N Dimensions. A multiresolution analysis framework for ITKCode0
Iterative Joint Image Demosaicking and Denoising using a Residual Denoising NetworkCode0
A Structure-Guided Diffusion Model for Large-Hole Image CompletionCode0
Invariant Risk Minimization Is A Total Variation ModelCode0
Cryo-CARE: Content-Aware Image Restoration for Cryo-Transmission Electron Microscopy DataCode0
Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace NormCode0
Interspeech 2021 Deep Noise Suppression ChallengeCode0
Interacting Diffusion Processes for Event Sequence ForecastingCode0
Inter-Beat Interval Estimation with Tiramisu Model: A Novel Approach with Reduced ErrorCode0
Instance Regularization for Discriminative Language Model Pre-trainingCode0
Instruction-Based Molecular Graph Generation with Unified Text-Graph Diffusion ModelCode0
AGEM: Solving Linear Inverse Problems via Deep Priors and SamplingCode0
Labeling, Cutting, Grouping: an Efficient Text Line Segmentation Method for Medieval ManuscriptsCode0
Inference-Time Diffusion Model DistillationCode0
Inexact Derivative-Free Optimization for Bilevel LearningCode0
AGConv: Adaptive Graph Convolution on 3D Point CloudsCode0
Inference Stage Denoising for Undersampled MRI ReconstructionCode0
Index NetworkCode0
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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