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 6901–6950 of 7282 papers

TitleStatusHype
Hyperspectral Image Denoising via Spatial-Spectral Recurrent TransformerCode0
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion PurificationCode0
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and ResultsCode0
Sparsity-Assisted Signal Denoising and Pattern Recognition in Time-Series DataCode0
Projected Distribution Loss for Image EnhancementCode0
Hyperspectral Image Mixed Noise Removal Using Subspace Representation and Deep CNN Image PriorCode0
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AICode0
Debiasing Cardiac Imaging with Controlled Latent Diffusion ModelsCode0
Hyperspectral Mixed Noise Removal By L1-Norm-Based Subspace RepresentationCode0
Autoencoder-based prediction of ICU clinical codesCode0
EdgeFool: An Adversarial Image Enhancement FilterCode0
OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone InscriptionsCode0
Structure Modeling Activation Free Fourier Network for Spacecraft Image DenoisingCode0
Robust Kronecker-Decomposable Component Analysis for Low-Rank ModelingCode0
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in HistopathologyCode0
Machine learning based lens-free imaging technique for field-portable cytometryCode0
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image ReconstructionCode0
Unmasking Bias in Diffusion Model TrainingCode0
AGILE: A Diffusion-Based Attention-Guided Image and Label Translation for Efficient Cross-Domain Plant Trait IdentificationCode0
An Extended Framework for Marginalized Domain AdaptationCode0
Towards Better Dermoscopic Image Feature Representation Learning for Melanoma ClassificationCode0
Prompt Mixing in Diffusion Models using the Black Scholes AlgorithmCode0
Autoencoders, Kernels, and Multilayer Perceptrons for Electron Micrograph Restoration and CompressionCode0
Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2024Code0
Identifying Recurring Patterns with Deep Neural Networks for Natural Image DenoisingCode0
Identity Enhanced Residual Image DenoisingCode0
Observation-Guided Diffusion Probabilistic ModelsCode0
EEGDiR: Electroencephalogram denoising network for temporal information storage and global modeling through Retentive NetworkCode0
Credit Card Fraud Detection Using Autoencoder Neural NetworkCode0
Simultaneous Motion And Noise Estimation with Event CamerasCode0
Addressing Missing Data Issue for Diffusion-based RecommendationCode0
IFH: a Diffusion Framework for Flexible Design of Graph Generative ModelsCode0
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRICode0
IIDM: Image-to-Image Diffusion Model for Semantic Image SynthesisCode0
Super-Resolution via Image-Adapted Denoising CNNs: Incorporating External and Internal LearningCode0
Robust Node Classification on Graphs: Jointly from Bayesian Label Transition and Topology-based Label PropagationCode0
ColorFool: Semantic Adversarial ColorizationCode0
Efficient and Flexible Sublabel-Accurate Energy MinimizationCode0
Efficient and Parallel Separable Dictionary LearningCode0
Efficient and principled score estimation with Nyström kernel exponential familiesCode0
AutoJoin: Efficient Adversarial Training against Gradient-Free Perturbations for Robust Maneuvering via Denoising Autoencoder and Joint LearningCode0
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric GuidanceCode0
Magicremover: Tuning-free Text-guided Image inpainting with Diffusion ModelsCode0
Brno Mobile OCR DatasetCode0
BRSR-OpGAN: Blind Radar Signal Restoration using Operational Generative Adversarial NetworkCode0
Efficient Blind Deblurring under High Noise LevelsCode0
Magnetogram-to-Magnetogram: Generative Forecasting of Solar EvolutionCode0
Image Blind Denoising Using Dual Convolutional Neural Network with Skip ConnectionCode0
Automated characterization of noise distributions in diffusion MRI dataCode0
Image Compression and Decompression Framework Based on Latent Diffusion Model for Breast MammographyCode0
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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