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 2351–2400 of 7282 papers

TitleStatusHype
A Review of Convolutional Neural Networks for Inverse Problems in ImagingCode0
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal DenoisingCode0
Adversarial Regularizers in Inverse ProblemsCode0
Inference Stage Denoising for Undersampled MRI ReconstructionCode0
Contextual Checkerboard Denoise -- A Novel Neural Network-Based Approach for Classification-Aware OCT Image DenoisingCode0
Improving Robustness to Model Inversion Attacks via Sparse Coding ArchitecturesCode0
RH-Net: Improving Neural Relation Extraction via Reinforcement Learning and Hierarchical Relational SearchingCode0
Context-aware Deep Feature Compression for High-speed Visual TrackingCode0
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMMCode0
Improving Social Meaning Detection with Pragmatic Masking and Surrogate Fine-TuningCode0
Inference-Time Diffusion Model DistillationCode0
Joint Visual Denoising and Classification using Deep LearningCode0
Improving Chinese Story Generation via Awareness of Syntactic Dependencies and SemanticsCode0
Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex PenaltiesCode0
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-ClassificationCode0
Constrained and unconstrained deep image prior optimization models with automatic regularizationCode0
Improved Diffusion-based Generative Model with Better Adversarial RobustnessCode0
Consistent Human Image and Video Generation with Spatially Conditioned DiffusionCode0
Adversarial Domain Adaptation for Cross-user Activity Recognition Using Diffusion-based Noise-centred LearningCode0
Consistent Autoformalization for Constructing Mathematical LibrariesCode0
Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparisonCode0
ConsistencyTrack: A Robust Multi-Object Tracker with a Generation Strategy of Consistency ModelCode0
Consistency Models for Scalable and Fast Simulation-Based InferenceCode0
Implicit Transfer Operator Learning: Multiple Time-Resolution Surrogates for Molecular DynamicsCode0
ImPoster: Text and Frequency Guidance for Subject Driven Action Personalization using Diffusion ModelsCode0
ConsistencyDet: A Few-step Denoising Framework for Object Detection Using the Consistency ModelCode0
Considering Image Information and Self-similarity: A Compositional Denoising NetworkCode0
Implicit 3D Orientation Learning for 6D Object Detection from RGB ImagesCode0
Image-to-Image MLP-mixer for Image ReconstructionCode0
Imaging at the quantum limit with convolutional neural networksCode0
Imaging transformer for MRI denoising with the SNR unit training: enabling generalization across field-strengths, imaging contrasts, and anatomyCode0
Connecting Image Denoising and High-Level Vision Tasks via Deep LearningCode0
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse ProblemsCode0
Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified RobustnessCode0
Conditioning diffusion models by explicit forward-backward bridgingCode0
ArchComplete: Autoregressive 3D Architectural Design Generation with Hierarchical Diffusion-Based UpsamplingCode0
Image Segmentation by Iterative Inference from Conditional Score EstimationCode0
Implicit Image-to-Image Schrodinger Bridge for Image RestorationCode0
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip ConnectionsCode0
Image Reconstruction with Predictive Filter FlowCode0
Image Restoration Using Deep Regulated Convolutional NetworksCode0
Image quality measurements and denoising using Fourier Ring CorrelationsCode0
Image Fusion via Sparse Regularization with Non-Convex PenaltiesCode0
A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image ReconstructionCode0
Image Inpainting via Tractable Steering of Diffusion ModelsCode0
Image Restoration using Plug-and-Play CNN MAP DenoisersCode0
Conditional Diffusion Models with Classifier-Free Gibbs-like GuidanceCode0
Image Denoising with Control over Deep Network HallucinationCode0
Image denoising using complex-valued deep CNNCode0
Image denoising using deep CNN with batch renormalizationCode0
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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