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 1351–1400 of 7282 papers

TitleStatusHype
Exploring the Devil in Graph Spectral Domain for 3D Point Cloud AttacksCode1
Ab-initio Contrast Estimation and Denoising of Cryo-EM ImagesCode1
Open-set Adversarial Defense with Clean-Adversarial Mutual LearningCode1
Riemannian Score-Based Generative ModellingCode1
Content-Noise Complementary Learning for Medical Image DenoisingCode1
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex RegularizationCode1
Blind ECG Restoration by Operational Cycle-GANsCode1
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic ModelCode1
Ultra Low-Parameter Denoising: Trainable Bilateral Filter Layers in Computed TomographyCode1
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream TasksCode1
Adaptive Deep PnP Algorithm for Video Snapshot Compressive ImagingCode1
Learning to Denoise Raw Mobile UI Layouts for Improving Datasets at ScaleCode1
Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising NetworksCode1
Memory-Augmented Deep Conditional Unfolding Network for Pan-SharpeningCode1
Learning Self-prior for Mesh Denoising using Dual Graph Convolutional NetworksCode1
On Efficient Transformer-Based Image Pre-training for Low-Level VisionCode1
Neuromorphic Camera Denoising using Graph Neural Network-driven TransformersCode1
Sparse Coding with Multi-Layer Decoders using Variance RegularizationCode1
Step-unrolled Denoising Autoencoders for Text GenerationCode1
Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical FlowCode1
A Conditional Point Diffusion-Refinement Paradigm for 3D Point Cloud CompletionCode1
Label-Efficient Semantic Segmentation with Diffusion ModelsCode1
Learning Robust Recommender from Noisy Implicit FeedbackCode1
SAR Image Despeckling Using Continuous Attention ModuleCode1
Embedding Decomposition for Artifacts Removal in EEG SignalsCode1
CDLNet: Noise-Adaptive Convolutional Dictionary Learning Network for Blind Denoising and DemosaicingCode1
Neighborhood Reconstructing AutoencodersCode1
Denoising Normalizing FlowCode1
Curriculum Disentangled Recommendation with Noisy Multi-feedbackCode1
EdiBERT, a generative model for image editingCode1
Revisiting Temporal Alignment for Video RestorationCode1
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstructionCode1
Diffusion Autoencoders: Toward a Meaningful and Decodable RepresentationCode1
Vector Quantized Diffusion Model for Text-to-Image SynthesisCode1
Unsupervised Image Denoising with Frequency Domain KnowledgeCode1
IDR: Self-Supervised Image Denoising via Iterative Data RefinementCode1
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image PriorCode1
Exploring Versatile Prior for Human Motion via Motion Frequency GuidanceCode1
Fast mesh denoising with data driven normal filtering using deep variational autoencodersCode1
One-shot Weakly-Supervised Segmentation in Medical ImagesCode1
IC-U-Net: A U-Net-based Denoising Autoencoder Using Mixtures of Independent Components for Automatic EEG Artifact RemovalCode1
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image RestorationCode1
Restormer: Efficient Transformer for High-Resolution Image RestorationCode1
SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRICode1
MultiSV: Dataset for Far-Field Multi-Channel Speaker VerificationCode1
Realistic galaxy image simulation via score-based generative modelsCode1
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding LearningCode1
Self-Supervised Speech Denoising Using Only Noisy Audio SignalsCode1
NeRV: Neural Representations for VideosCode1
PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine TranslationCode1
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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