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 1801–1850 of 7282 papers

TitleStatusHype
Blind Universal Bayesian Image Denoising with Gaussian Noise Level LearningCode0
Blind Restoration of Real-World Audio by 1D Operational GANsCode0
Misaligned Over-The-Air Computation of Multi-Sensor Data with Wiener-Denoiser NetworkCode0
Blind microscopy image denoising with a deep residual and multiscale encoder/decoder networkCode0
Analysis of learning a flow-based generative model from limited sample complexityCode0
Microscopy Image Restoration with Deep Wiener-Kolmogorov filtersCode0
Blind Image Denoising and Inpainting Using Robust Hadamard AutoencodersCode0
MicroSSIM: Improved Structural Similarity for Comparing Microscopy DataCode0
MFTF: Mask-free Training-free Object Level Layout Control Diffusion ModelCode0
MFM-DA: Instance-Aware Adaptor and Hierarchical Alignment for Efficient Domain Adaptation in Medical Foundation ModelsCode0
Metaphor Detection with Effective Context DenoisingCode0
Lightweight network towards real-time image denoising on mobile devicesCode0
Mixed Graph Signal Analysis of Joint Image Denoising / InterpolationCode0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
Megapixel Image Generation with Step-Unrolled Denoising AutoencodersCode0
Denoising Generalized Expectation-Consistent Approximation for MR Image RecoveryCode0
Adaptive Uncertainty-Guided Model Selection for Data-Driven PDE DiscoveryCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and EnhancementCode0
Medical image denoising using convolutional denoising autoencodersCode0
Bivariate Matrix-valued Linear Regression (BMLR): Finite-sample performance under Identifiability and Sparsity AssumptionsCode0
An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited DataCode0
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score MatchingCode0
MCRAGE: Synthetic Healthcare Data for FairnessCode0
Denoising Distantly Supervised Open-Domain Question AnsweringCode0
Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic ModelCode0
An adaptive denoising recommendation algorithm for causal separation biasCode0
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious CorrelationsCode0
MaskPure: Improving Defense Against Text Adversaries with Stochastic PurificationCode0
Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family ObservablesCode0
Masked Diffusion with Task-awareness for Procedure Planning in Instructional VideosCode0
Binding via Reconstruction ClusteringCode0
Mask-GVAE: Blind Denoising Graphs via PartitionCode0
Mesh Denoising with Facet Graph ConvolutionsCode0
Manifold Modeling in Embedded Space: A Perspective for Interpreting Deep Image PriorCode0
Manifold Denoising by Nonlinear Robust Principal Component AnalysisCode0
Denoising Diffusion Probabilistic Models as a Defense against Adversarial AttacksCode0
MambaFoley: Foley Sound Generation using Selective State-Space ModelsCode0
Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-RatesCode0
Bilevel Learning with Inexact Stochastic GradientsCode0
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy TrainingCode0
Magnetogram-to-Magnetogram: Generative Forecasting of Solar EvolutionCode0
MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-ResolutionCode0
A multimodal dynamical variational autoencoder for audiovisual speech representation learningCode0
Machine learning based lens-free imaging technique for field-portable cytometryCode0
MagicPortrait: Temporally Consistent Face Reenactment with 3D Geometric GuidanceCode0
LIDIA: Lightweight Learned Image Denoising with Instance AdaptationCode0
Denoising Graph Super-Resolution towards Improved Collider Event ReconstructionCode0
Denoising Diffusion-Based Control of Nonlinear SystemsCode0
A Multilinear Tongue Model Derived from Speech Related MRI Data of the Human Vocal TractCode0
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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