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 2001–2050 of 7282 papers

TitleStatusHype
Denoising Fisher Training For Neural Implicit Samplers—0
Denoising Fast X-Ray Fluorescence Raster Scans of Paintings—0
DiffBFR: Bootstrapping Diffusion Model Towards Blind Face Restoration—0
BJTU-WeChat's Systems for the WMT22 Chat Translation Task—0
DiffBrush:Just Painting the Art by Your Hands—0
DiffCAP: Diffusion-based Cumulative Adversarial Purification for Vision Language Models—0
An algorithm for improving Non-Local Means operators via low-rank approximation—0
Denoising ESG: quantifying data uncertainty from missing data with Machine Learning and prediction intervals—0
Denoising Enhanced Distantly Supervised Ultrafine Entity Typing—0
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs—0
Denoising ECG by Adaptive Filter with Empirical Mode Decomposition—0
DiffDesign: Controllable Diffusion with Meta Prior for Efficient Interior Design Generation—0
Bitwise Operations of Cellular Automaton on Gray-scale Images—0
DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models—0
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models—0
Divide, Denoise, and Defend against Adversarial Attacks—0
Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training—0
Differentiable Forward and Backward Fixed-Point Iteration Layers—0
Adaptive Spatial-Spectral Dictionary Learning for Hyperspectral Image Denoising—0
An End-to-End Deep Learning Architecture for Classification of Malware’s Binary Content—0
Denoising Diffusion via Image-Based Rendering—0
Differentiable Programming for Piecewise Polynomial Functions—0
An Adaptive Parameter Estimation for Guided Filter based Image Deconvolution—0
DiVAE: Photorealistic Images Synthesis with Denoising Diffusion Decoder—0
Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity—0
MDiff-FMT: Morphology-aware Diffusion Model for Fluorescence Molecular Tomography with Small-scale Datasets—0
DiffForensics: Leveraging Diffusion Prior to Image Forgery Detection and Localization—0
DiffGAN-F2S: Symmetric and Efficient Denoising Diffusion GANs for Structural Connectivity Prediction from Brain fMRI—0
Denoising Diffusion Semantic Segmentation with Mask Prior Modeling—0
DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs—0
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys—0
Diverse Score Distillation—0
Denoising Diffusion Samplers—0
DiffHand: End-to-End Hand Mesh Reconstruction via Diffusion Models—0
Denoising Diffusion Restoration Tackles Forward and Inverse Problems for the Laplace Operator—0
DiffI2I: Efficient Diffusion Model for Image-to-Image Translation—0
Biologically Inspired Radio Signal Feature Extraction with Sparse Denoising Autoencoders—0
DiffImp: Efficient Diffusion Model for Probabilistic Time Series Imputation with Bidirectional Mamba Backbone—0
Bio-Inspired Night Image Enhancement Based on Contrast Enhancement and Denoising—0
An Adapter based Multi-label Pre-training for Speech Separation and Enhancement—0
Denoising Diffusion Probabilistic Models in Six Simple Steps—0
BioAtt: Anatomical Prior Driven Low-Dose CT Denoising—0
Denoising Diffusion Probabilistic Models for Coastal Inundation Forecasting—0
Denoising Diffusion Probabilistic Models for Image Inpainting of Cell Distributions in the Human Brain—0
DiffLLE: Diffusion-guided Domain Calibration for Unsupervised Low-light Image Enhancement—0
A multistep segmentation algorithm for vessel extraction in medical imaging—0
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation—0
Conditional Denoising Diffusion Probabilistic Models for Data Reconstruction Enhancement in Wireless Communications—0
Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild—0
Denoising diffusion probabilistic models for probabilistic energy forecasting—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