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 2101–2150 of 7282 papers

TitleStatusHype
Denoising of Geodetic Time Series Using Spatiotemporal Graph Neural Networks: Application to Slow Slip Event Extraction—0
CCDM: Continuous Conditional Diffusion Models for Image GenerationCode1
Score-based Generative Priors Guided Model-driven Network for MRI Reconstruction—0
SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning—0
Dose-aware Diffusion Model for 3D PET Image Denoising: Multi-institutional Validation with Reader Study and Real Low-dose Data—0
Converting Anyone's Voice: End-to-End Expressive Voice Conversion with a Conditional Diffusion Model—0
A text-based, generative deep learning model for soil reflectance spectrum simulation in the VIS-NIR (400-2499 nm) bandsCode1
Invariant Risk Minimization Is A Total Variation ModelCode0
EchoScene: Indoor Scene Generation via Information Echo over Scene Graph DiffusionCode2
LocInv: Localization-aware Inversion for Text-Guided Image EditingCode2
Evaluation of Video-Based rPPG in Challenging Environments: Artifact Mitigation and Network Resilience—0
SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image DenoisingCode2
Investigating Self-Supervised Image Denoising with Denaturation—0
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models—0
Guided Conditional Diffusion Classifier (ConDiff) for Enhanced Prediction of Infection in Diabetic Foot Ulcers—0
Deep Metric Learning-Based Out-of-Distribution Detection with Synthetic Outlier Exposure—0
Streamlining Image Editing with Layered Diffusion Brushes—0
Noise propagation and MP-PCA image denoising for high-resolution quantitative T2* and magnetic susceptibility mapping (QSM)—0
Advancing low-field MRI with a universal denoising imaging transformer: Towards fast and high-quality imagingCode0
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models—0
TheaterGen: Character Management with LLM for Consistent Multi-turn Image GenerationCode2
LeqMod: Adaptable Lesion-Quantification-Consistent Modulation for Deep Learning Low-Count PET Image Denoising—0
Diffusion-Aided Joint Source Channel Coding For High Realism Wireless Image TransmissionCode1
Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion ModelCode1
Defending Spiking Neural Networks against Adversarial Attacks through Image Purification—0
SNRGAN: The Semi Noise Reduction GAN for Image DenoisingCode0
TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion ModelsCode2
Space-Variant Total Variation boosted by learning techniques in few-view tomographic imaging—0
Denoising: from classical methods to deep CNNsCode1
One Noise to Rule Them All: Learning a Unified Model of Spatially-Varying Noise Patterns—0
Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models—0
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model—0
GLoD: Composing Global Contexts and Local Details in Image Generation—0
DENOISER: Rethinking the Robustness for Open-Vocabulary Action Recognition—0
A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba ModelsCode1
OccGen: Generative Multi-modal 3D Occupancy Prediction for Autonomous Driving—0
CutDiffusion: A Simple, Fast, Cheap, and Strong Diffusion Extrapolation MethodCode1
A sensitivity analysis to quantify the impact of neuroimaging preprocessing strategies on subsequent statistical analyses—0
Score matching for sub-Riemannian bridge sampling—0
A novel perspective on denoising using quantum localization with application to medical imaging—0
Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential RecommendationCode0
Accelerating Image Generation with Sub-path Linear Approximation Model—0
Towards Understanding the Robustness of Diffusion-Based Purification: A Stochastic Perspective—0
Non-Uniform Exposure Imaging via Neuromorphic Shutter Control—0
CRNet: A Detail-Preserving Network for Unified Image Restoration and Enhancement TaskCode2
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order ConnectivityCode1
A Massive MIMO Sampling Detection Strategy Based on Denoising Diffusion Model—0
A New Multi-Picture Architecture for Learned Video Deinterlacing and Demosaicing with Parallel Deformable Convolution and Self-Attention BlocksCode0
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE TranslationCode0
DoughNet: A Visual Predictive Model for Topological Manipulation of Deformable Objects—0
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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