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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5651–5700 of 7282 papers

TitleStatusHype
Dynamic Low-light Imaging with Quanta Image Sensors—0
Unsupervised Sketch to Photo Synthesis—0
Transformation Consistency Regularization – A Semi-Supervised Paradigm for Image-to-Image Translation—0
Regularization by Denoising via Fixed-Point Projection (RED-PRO)—0
Multi-Slice Fusion for Sparse-View and Limited-Angle 4D CT Reconstruction—0
Joint Low Dose CT Denoising And Kidney SegmentationCode1
Denoising individual bias for a fairer binary submatrix detectionCode0
Leverage Unlabeled Data for Abstractive Speech Summarization with Self-Supervised Learning and Back-Summarization—0
NormalGAN: Learning Detailed 3D Human from a Single RGB-D ImageCode1
Unnormalized Variational Bayes—0
Solving Linear Inverse Problems Using the Prior Implicit in a DenoiserCode1
Deep learning Framework for Mobile MicroscopyCode0
Differentiable Manifold Reconstruction for Point Cloud DenoisingCode1
Hyperspectral Image Denoising Using SURE-Based Unsupervised Convolutional Neural NetworksCode1
Improving Deep Learning with Differential Privacy using Gradient Encoding and Denoising—0
Sparse Nonnegative Tensor Factorization and Completion with Noisy Observations—0
Dynamic Low-light Imaging with Quanta Image Sensors—0
Graph topology inference benchmarks for machine learningCode0
Event Enhanced High-Quality Image RecoveryCode1
Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image TranslationCode1
Multivariate Signal Denoising Based on Generic Multivariate Detrended Fluctuation Analysis—0
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack—0
Unsupervised 3D Human Pose Representation with Viewpoint and Pose DisentanglementCode1
Spectrum-Guided Adversarial Disparity LearningCode0
Functions with average smoothness: structure, algorithms, and learning—0
Dual Adversarial Network: Toward Real-world Noise Removal and Noise GenerationCode1
Lightweight Modules for Efficient Deep Learning based Image RestorationCode1
Improved Detection of Adversarial Images Using Deep Neural Networks—0
JBFnet -- Low Dose CT Denoising by Trainable Joint Bilateral Filtering—0
Low Dose CT Denoising via Joint Bilateral Filtering and Intelligent Parameter Optimization—0
Designing and Training of A Dual CNN for Image DenoisingCode1
Efficient and Parallel Separable Dictionary LearningCode0
Learning Model-Blind Temporal Denoisers without Ground Truths—0
Bespoke vs. Prêt-à-Porter Lottery Tickets: Exploiting Mask Similarity for Trainable Sub-Network Finding—0
Robust Technique for Representative Volume Element Identification in Noisy Microtomography Images of Porous Materials Based on Pores Morphology and Their Spatial Distribution—0
Consistency analysis of bilevel data-driven learning in inverse problems—0
Accelerated MRI with Un-trained Neural NetworksCode1
Learning Graph-Convolutional Representations for Point Cloud DenoisingCode1
Speckle2Void: Deep Self-Supervised SAR Despeckling with Blind-Spot Convolutional Neural NetworksCode1
Ground Truth Free Denoising by Optimal TransportCode0
Joint Frequency and Image Space Learning for MRI Reconstruction and AnalysisCode1
Surface Denoising based on Normal Filtering in a Robust Statistics Framework—0
SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss NetworkCode1
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder ArchitectureCode1
Generating Fluent Translations from Disfluent Text Without Access to Fluent References: IIT Bombay@IWSLT2020—0
Beamspace Channel Estimation for Wideband Millimeter-Wave MIMO: A Model-Driven Unsupervised Learning Approach—0
Accelerating Prostate Diffusion Weighted MRI using Guided Denoising Convolutional Neural Network: Retrospective Feasibility Study—0
Hyperspectral Image Denoising with Partially Orthogonal Matrix Vector Tensor Factorization—0
Data augmentation versus noise compensation for x- vector speaker recognition systems in noisy environments—0
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved GeneralizationCode0
Show:102550
← PrevPage 114 of 146Next →
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