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 4051–4100 of 7282 papers

TitleStatusHype
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis—0
Relationship Quantification of Image Degradations—0
FSID: Fully Synthetic Image Denoising via Procedural Scene GenerationCode4
Selector-Enhancer: Learning Dynamic Selection of Local and Non-local Attention Operation for Speech Enhancement—0
Neural Cell Video Synthesis via Optical-Flow Diffusion—0
Sources of Noise in Dialogue and How to Deal with Them—0
DiffusionInst: Diffusion Model for Instance SegmentationCode2
DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic ModelCode0
ADIR: Adaptive Diffusion for Image Reconstruction—0
Denoising diffusion probabilistic models for probabilistic energy forecasting—0
Complex-valued Retrievals From Noisy Images Using Diffusion Models—0
Image Inpainting via Iteratively Decoupled Probabilistic ModelingCode1
Score-based denoising for atomic structure identificationCode1
Domino Denoise: An Accurate Blind Zero-Shot Denoiser using Domino Tilings—0
PhysDiff: Physics-Guided Human Motion Diffusion Model—0
Multiscale Structure Guided Diffusion for Image Deblurring—0
Interferometric Passive Radar Imaging with Deep Denoising Priors—0
Improving End-to-end Speech Translation by Leveraging Auxiliary Speech and Text Data—0
Quantum median filter for Total Variation image denoising—0
Fast Algorithm for Constrained Linear Inverse ProblemsCode0
DiffRF: Rendering-Guided 3D Radiance Field Diffusion—0
Concealed Object Detection for Passive Millimeter-Wave Security Imaging Based on Task-Aligned Detection Transformer—0
Linear Combinations of Patches are Unreasonably Effective for Single-Image DenoisingCode0
Denoising after Entropy-based Debiasing A Robust Training Method for Dataset Bias with Noisy Labels—0
Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning—0
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery—0
Zero-Shot Image Restoration Using Denoising Diffusion Null-Space ModelCode4
Multi-Class Segmentation from Aerial Views using Recursive Noise DiffusionCode1
Denoising Deep Generative ModelsCode0
DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded LibrariesCode1
Gradient Domain Weighted Guided Image Filtering—0
Denoising Diffusion for Sampling SAT Solutions—0
Linking Sketch Patches by Learning Synonymous Proximity for Graphic Sketch RepresentationCode0
SinDDM: A Single Image Denoising Diffusion ModelCode1
CSI-PPPNet: A One-Sided One-for-All Deep Learning Framework for Massive MIMO CSI Feedback—0
Enhanced artificial intelligence-based diagnosis using CBCT with internal denoising: Clinical validation for discrimination of fungal ball, sinusitis, and normal cases in the maxillary sinus—0
Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion—0
Unsupervised Visual Defect Detection with Score-Based Generative Model—0
Learn to See Faster: Pushing the Limits of High-Speed Camera with Deep Underexposed Image Denoising—0
Post-training Quantization on Diffusion ModelsCode1
Refining Generative Process with Discriminator Guidance in Score-based Diffusion ModelsCode1
BJTU-WeChat's Systems for the WMT22 Chat Translation Task—0
Defending Adversarial Attacks on Deep Learning Based Power Allocation in Massive MIMO Using Denoising AutoencodersCode0
DiffusionBERT: Improving Generative Masked Language Models with Diffusion ModelsCode2
Tuning-free Plug-and-Play Hyperspectral Image Deconvolution with Deep PriorsCode0
Improved Quasi-Recurrent Neural Network for Hyperspectral Image Denoising—0
Towards Efficient and Accurate Approximation: Tensor Decomposition Based on Randomized Block Krylov Iteration—0
CFNet: Conditional Filter Learning with Dynamic Noise Estimation for Real Image Denoising—0
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models—0
Spatial-Spectral Transformer for Hyperspectral Image DenoisingCode1
Show:102550
← PrevPage 82 of 146Next →
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