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 1651–1700 of 7282 papers

TitleStatusHype
DiffSim: Taming Diffusion Models for Evaluating Visual SimilarityCode1
DiffTAD: Temporal Action Detection with Proposal Denoising DiffusionCode1
Deep Mesh Prior: Unsupervised Mesh Restoration using Graph Convolutional NetworksCode1
A zero-inflated gamma model for deconvolved calcium imaging tracesCode1
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation LearningCode1
DiffuseReg: Denoising Diffusion Model for Obtaining Deformation Fields in Unsupervised Deformable Image RegistrationCode1
Rotation-Equivariant Self-Supervised Method in Image DenoisingCode1
RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing Image DehazingCode1
Diffusion-based Graph Generative MethodsCode1
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss NetworkCode1
DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial TrainingCode1
DiffPortrait3D: Controllable Diffusion for Zero-Shot Portrait View SynthesisCode1
DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative RefinementCode1
Accelerated MRI with Un-trained Neural NetworksCode1
ScoreAdv: Score-based Targeted Generation of Natural Adversarial Examples via Diffusion ModelsCode1
Score-Based Diffusion Models as Principled Priors for Inverse ImagingCode1
A deep network for sinogram and CT image reconstructionCode1
Score-Based Point Cloud DenoisingCode1
Deep Multi-Threshold Spiking-UNet for Image ProcessingCode1
Solving Inverse Physics Problems with Score MatchingCode1
Accurate Image Restoration with Attention Retractable TransformerCode1
Can LLMs be Good Graph Judge for Knowledge Graph Construction?Code1
Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super ResolutionCode1
SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal DenoisingCode1
DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging LoadCode1
A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron TomographyCode1
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?Code1
Deep Plug-and-Play Prior for Hyperspectral Image RestorationCode1
DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain PackingCode1
Self2Self+: Single-Image Denoising with Self-Supervised Learning and Image Quality Assessment LossCode1
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionCode1
DiffPO: A causal diffusion model for learning distributions of potential outcomesCode1
Deep Random Projector: Accelerated Deep Image PriorCode1
Deep Recurrent Neural Networks for ECG Signal DenoisingCode1
Diff-Reg v1: Diffusion Matching Model for Registration ProblemCode1
Deep Reparametrization of Multi-Frame Super-Resolution and DenoisingCode1
Diffusion Model for Dense MatchingCode1
Deep Residual Learning for Channel Estimation in Intelligent Reflecting Surface-Assisted Multi-User CommunicationsCode1
Deep Residual Network Empowered Channel Estimation for IRS-Assisted Multi-User Communication SystemsCode1
Self-supervised Low Light Image Enhancement and DenoisingCode1
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic ModelsCode1
The Lottery Ticket Hypothesis in Denoising: Towards Semantic-Driven InitializationCode1
Deep Semantic Statistics Matching (D2SM) Denoising NetworkCode1
Semi-Implicit Denoising Diffusion Models (SIDDMs)Code1
Empowering Diffusion Models on the Embedding Space for Text GenerationCode1
Designing and Training of A Dual CNN for Image DenoisingCode1
Ship in Sight: Diffusion Models for Ship-Image Super ResolutionCode1
Show, Edit and Tell: A Framework for Editing Image CaptionsCode1
Probabilistic Noise2Void: Unsupervised Content-Aware DenoisingCode1
CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion ModelsCode1
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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