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 6201–6250 of 7282 papers

TitleStatusHype
Denoising based on wavelets and deblurring via self-organizing map for Synthetic Aperture Radar images—0
Denoising based Sequence-to-Sequence Pre-training for Text Generation—0
Denoising-based Turbo Message Passing for Compressed Video Background Subtraction—0
Denoising-based UNMT is more robust to word-order divergence than MASS-based UNMT—0
Denoising bivariate signals via smoothing and polarization priors—0
Denoising Click-evoked Otoacoustic Emission Signals by Optimal Shrinkage—0
Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model Steering—0
Denoising Cosine Similarity: A Theory-Driven Approach for Efficient Representation Learning—0
Denoising Criterion for Variational Auto-Encoding Framework—0
Denoising Designs-inherited Search Framework for Image Denoising—0
Denoising Dictionary Learning Against Adversarial Perturbations—0
Denoising diffusion algorithm for inverse design of microstructures with fine-tuned nonlinear material properties—0
You KAN Do It in a Single Shot: Plug-and-Play Methods with Single-Instance Priors—0
Denoising diffusion-based synthetic generation of three-dimensional (3D) anisotropic microstructures from two-dimensional (2D) micrographs—0
An Adapter based Multi-label Pre-training for Speech Separation and Enhancement—0
Denoising Diffusion Error Correction Codes—0
Denoising Diffusion for 3D Hand Pose Estimation from Images—0
Denoising Diffusion for Sampling SAT Solutions—0
Denoising Diffusion Gamma Models—0
A multistep segmentation algorithm for vessel extraction in medical imaging—0
Denoising Diffusion Medical Models—0
Structural Vibration Signal Denoising Using Stacking Ensemble of Hybrid CNN-RNN—0
Denoising Diffusion Models for Anomaly Localization in Medical Images—0
Denoising diffusion models for high-resolution microscopy image restoration—0
Denoising Diffusion Models for Inpainting of Healthy Brain Tissue—0
A Multi-Stage Triple-Path Method for Speech Separation in Noisy and Reverberant Environments—0
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model—0
A Multi-scale Video Denoising Algorithm for Raw Image—0
Denoising diffusion probabilistic models are optimally adaptive to unknown low dimensionality—0
Denoising Diffusion Probabilistic Models for Styled Walking Synthesis—0
Denoising diffusion probabilistic models for probabilistic energy forecasting—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild—0
Conditional Denoising Diffusion Probabilistic Models for Data Reconstruction Enhancement in Wireless Communications—0
Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain—0
Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting—0
Denoising Diffusion Probabilistic Models in Six Simple Steps—0
Speech Enhancement for Wake-Up-Word detection in Voice Assistants—0
Improving Speech Enhancement Performance by Leveraging Contextual Broad Phonetic Class Information—0
A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network—0
Denoising Diffusion Restoration Tackles Forward and Inverse Problems for the Laplace Operator—0
Denoising Diffusion Samplers—0
Denoising Diffusion Semantic Segmentation with Mask Prior Modeling—0
Speech Enhancement Using Self-Supervised Pre-Trained Model and Vector Quantization—0
Speech Enhancement with Multi-granularity Vector Quantization—0
Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity—0
Denoising Diffusion via Image-Based Rendering—0
Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training—0
SpeechRefiner: Towards Perceptual Quality Refinement for Front-End Algorithms—0
Denoising ECG by Adaptive Filter with Empirical Mode Decomposition—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