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 5151–5200 of 7282 papers

TitleStatusHype
MR elasticity reconstruction using statistical physical modeling and explicit data-driven denoising regularizer—0
HDRUNet: Single Image HDR Reconstruction with Denoising and DequantizationCode0
Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services—0
Hyperspectral Image Denoising with Log-Based Robust PCA—0
High-Frequency aware Perceptual Image Enhancement—0
RNNoise-Ex: Hybrid Speech Enhancement System based on RNN and Spectral FeaturesCode1
Gated Fusion Network for SAO Filter and Inter Frame Prediction in Versatile Video Coding—0
Learning a Model-Driven Variational Network for Deformable Image Registration—0
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint GraphsCode0
Real-time Human Action Recognition Using Locally Aggregated Kinematic-Guided Skeletonlet and Supervised Hashing-by-Analysis Model—0
FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian NoiseCode1
SSCAN: A Spatial-spectral Cross Attention Network for Hyperspectral Image Denoising—0
Denoising Noisy Neural Networks: A Bayesian Approach with CompensationCode0
LAPAR: Linearly-Assembled Pixel-Adaptive Regression Network for Single Image Super-Resolution and BeyondCode1
Learning Robust Recommenders through Cross-Model Agreement—0
Multi-Perspective Anomaly Detection—0
End-to-End Unsupervised Document Image Blind Denoising—0
Graph Sanitation with Application to Node Classification—0
MIEHDR CNN: Main Image Enhancement based Ghost-Free High Dynamic Range Imaging using Dual-Lens Systems—0
Overparametrization of HyperNetworks at Fixed FLOP-Count Enables Fast Neural Image Enhancement—0
Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: ReportCode1
A Fusion-Denoising Attack on InstaHide with Data AugmentationCode0
SeaD: End-to-end Text-to-SQL Generation with Schema-aware DenoisingCode2
GCN-MIF: Graph Convolutional Network with Multi-Information Fusion for Low-dose CT DenoisingCode0
Window-Level is a Strong Denoising SurrogateCode1
HINet: Half Instance Normalization Network for Image RestorationCode1
Spelling Correction with Denoising Transformer—0
Optimal Receive Beamforming for Over-the-Air Computation—0
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models—0
Disentangling Noise from Images: A Flow-Based Image Denoising Neural NetworkCode1
Poisoning MorphNet for Clean-Label Backdoor Attack to Point Clouds—0
A Bregman Learning Framework for Sparse Neural NetworksCode1
Graph Feature Gating Networks—0
Zero-Shot Personalized Speech Enhancement through Speaker-Informed Model Selection—0
Test-Time Adaptation Toward Personalized Speech Enhancement: Zero-Shot Learning with Knowledge Distillation—0
LINN: Lifting Inspired Invertible Neural Network for Image DenoisingCode0
Real-Time Video Super-Resolution by Joint Local Inference and Global Parameter Estimation—0
Towards Interpretable and Transferable Speech Emotion Recognition: Latent Representation Based Analysis of Features, Methods and Corpora—0
Fully Learnable Deep Wavelet Transform for Unsupervised Monitoring of High-Frequency Time Series—0
Blind microscopy image denoising with a deep residual and multiscale encoder/decoder networkCode0
Simultaneous Denoising and Localization Network for Photoacoustic Target Localization—0
Generative Models Improve Radiomics Reproducibility in Low Dose CTs: A Simulation StudyCode0
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks—0
A Refined Inertial DC Algorithm for DC Programming—0
Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation—0
Assessing the Impact of Deep Neural Network-based Image Denoising on Binary Signal Detection Tasks—0
Weakly Supervised Volumetric Segmentation via Self-taught Shape Denoising ModelCode0
SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer—0
AWCD: An Efficient Point Cloud Processing Approach via Wasserstein Curvature—0
A tutorial on generalized eigendecomposition for denoising, contrast enhancement, and dimension reduction in multichannel electrophysiologyCode1
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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