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 1751–1800 of 7282 papers

TitleStatusHype
Brno Mobile OCR DatasetCode0
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification LayersCode0
A deep convolutional neural network for salt-and-pepper noise removal using selective convolutional blocksCode0
Modular proximal optimization for multidimensional total-variation regularizationCode0
An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task LearningCode0
Acceleration of RED via Vector ExtrapolationCode0
Modeling the Neonatal Brain Development Using Implicit Neural RepresentationsCode0
Cross-model Back-translated Distillation for Unsupervised Machine TranslationCode0
Modality-Guided Dynamic Graph Fusion and Temporal Diffusion for Self-Supervised RGB-T TrackingCode0
Addressing Small and Imbalanced Medical Image Datasets Using Generative Models: A Comparative Study of DDPM and PGGANs with Random and Greedy K SamplingCode0
Mixture of Soft Prompts for Controllable Data GenerationCode0
Mixed Graph Signal Analysis of Joint Image Denoising / InterpolationCode0
Deep learning Framework for Mobile MicroscopyCode0
Model-blind Video Denoising Via Frame-to-frame TrainingCode0
Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision TransformersCode0
Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward AlignmentCode0
Missing Data Imputation with Adversarially-trained Graph Convolutional NetworksCode0
A Semi-Supervised Approach for Low-Resourced Text GenerationCode0
Mitigating Label Noise using Prompt-Based Hyperbolic Meta-Learning in Open-Set Domain GeneralizationCode0
BrainCodec: Neural fMRI codec for the decoding of cognitive brain statesCode0
An Automated Pipeline for Few-Shot Bird Call Classification: A Case Study with the Tooth-Billed PigeonCode0
Addressing Missing Data Issue for Diffusion-based RecommendationCode0
Misaligned Over-The-Air Computation of Multi-Sensor Data with Wiener-Denoiser NetworkCode0
An Attention-Based Denoising Framework for Personality Detection in Social Media TextsCode0
An attempt to generate new bridge types from latent space of denoising diffusion Implicit modelCode0
Boundary-Denoising for Video Activity LocalizationCode0
BORT: Back and Denoising Reconstruction for End-to-End Task-Oriented DialogCode0
Microscopy Image Restoration with Deep Wiener-Kolmogorov filtersCode0
MicroSSIM: Improved Structural Similarity for Comparing Microscopy DataCode0
MFM-DA: Instance-Aware Adaptor and Hierarchical Alignment for Efficient Domain Adaptation in Medical Foundation ModelsCode0
Lightweight network towards real-time image denoising on mobile devicesCode0
MFTF: Mask-free Training-free Object Level Layout Control Diffusion ModelCode0
Meta-DiffuB: A Contextualized Sequence-to-Sequence Text Diffusion Model with Meta-ExplorationCode0
Metaphor Detection with Effective Context DenoisingCode0
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Frame Interpolation and EnhancementCode0
Mesh Denoising with Facet Graph ConvolutionsCode0
Multi-Agent Feedback Enabled Neural Networks for Intelligent CommunicationsCode0
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challengesCode0
Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion ModelsCode0
Boosted Locality Sensitive Hashing: Discriminative Binary Codes for Source SeparationCode0
Medical image denoising using convolutional denoising autoencodersCode0
MCRAGE: Synthetic Healthcare Data for FairnessCode0
Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family ObservablesCode0
A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant informationCode0
MaskPure: Improving Defense Against Text Adversaries with Stochastic PurificationCode0
Mask-GVAE: Blind Denoising Graphs via PartitionCode0
Block Coordinate Regularization by DenoisingCode0
MaskMedPaint: Masked Medical Image Inpainting with Diffusion Models for Mitigation of Spurious CorrelationsCode0
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score MatchingCode0
Blockchain Transaction Fee Forecasting: A Comparison of Machine Learning MethodsCode0
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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