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 4201–4250 of 7282 papers

TitleStatusHype
On the Vulnerability of DeepFake Detectors to Attacks Generated by Denoising Diffusion Models—0
Metropolis Sampling for Constrained Diffusion Models—0
Image Reconstruction using Enhanced Vision Transformer—0
Bio-Inspired Night Image Enhancement Based on Contrast Enhancement and Denoising—0
DDGM: Solving inverse problems by Diffusive Denoising of Gradient-based Minimization—0
Learning Spatial Features from Audio-Visual Correspondence in Egocentric Videos—0
Timbre transfer using image-to-image denoising diffusion implicit models—0
Geometric Constraints in Probabilistic Manifolds: A Bridge from Molecular Dynamics to Structured Diffusion Processes—0
Ultrasonic Image's Annotation Removal: A Self-supervised Noise2Noise ApproachCode0
Seismic Data Interpolation via Denoising Diffusion Implicit Models with Coherence-corrected Resampling—0
A Self-Supervised Algorithm for Denoising Photoplethysmography Signals for Heart Rate Estimation from Wearables—0
Single Image LDR to HDR Conversion using Conditional Diffusion—0
Application of Spherical Convolutional Neural Networks to Image Reconstruction and Denoising in Nuclear Medicine—0
ADASSM: Adversarial Data Augmentation in Statistical Shape Models From Images—0
Undecimated Wavelet Transform for Word Embedded Semantic Marginal Autoencoder in Security improvement and Denoising different Languages—0
Recovering implicit pitch contours from formants in whispered speech—0
PanoDiffusion: 360-degree Panorama Outpainting via Diffusion—0
Leveraging Denoised Abstract Meaning Representation for Grammatical Error Correction—0
Physics-assisted Deep Learning for FMCW Radar Quantitative Imaging of Two-dimension Target—0
DiffFlow: A Unified SDE Framework for Score-Based Diffusion Models and Generative Adversarial Networks—0
Focusing on what to decode and what to train: SOV Decoding with Specific Target Guided DeNoising and Vision Language AdvisorCode0
Retinex-based Image Denoising / Contrast Enhancement using Gradient Graph Laplacian Regularizer—0
Training Energy-Based Models with Diffusion Contrastive Divergences—0
Démélange, déconvolution et débruitage conjoints d'un modèle convolutif parcimonieux avec dérive instrumentale, par pénalisation de rapports de normes ou quasi-normes lissées (PENDANTSS)Code0
Estimating Post-OCR Denoising Complexity on Numerical Texts—0
TomatoDIFF: On-plant Tomato Segmentation with Denoising Diffusion ModelsCode0
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution—0
Learning Mixtures of Gaussians Using the DDPM Objective—0
MissDiff: Training Diffusion Models on Tabular Data with Missing Values—0
Variational Autoencoding Molecular Graphs with Denoising Diffusion Probabilistic Model—0
Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation—0
Re-Think and Re-Design Graph Neural Networks in Spaces of Continuous Graph Diffusion FunctionalsCode0
Unsupervised Coordinate-Based Video Denoising—0
Weighted Anisotropic-Isotropic Total Variation for Poisson DenoisingCode0
AE-RED: A Hyperspectral Unmixing Framework Powered by Deep Autoencoder and Regularization by Denoising—0
Counting Guidance for High Fidelity Text-to-Image Synthesis—0
Designing Stable Neural Networks using Convex Analysis and ODEsCode0
SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph GenerationCode0
Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation—0
ID-Pose: Sparse-view Camera Pose Estimation by Inverting Diffusion Models—0
Deep Denoising Prior-Based Spectral Estimation for Phaseless Synthetic Aperture Radar—0
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack—0
SVNR: Spatially-variant Noise Removal with Denoising Diffusion—0
Face Morphing Attack Detection with Denoising Diffusion Probabilistic ModelsCode0
A denoised Mean Teacher for domain adaptive point cloud registrationCode0
A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis—0
Statistical Component Separation for Targeted Signal Recovery in Noisy MixturesCode0
A ground-based dataset and a diffusion model for on-orbit low-light image enhancement—0
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited DataCode0
Deep learning-based deconvolution for interferometric radio transient reconstructionCode0
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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