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 3351–3400 of 7282 papers

TitleStatusHype
Illumination and Shadows in Head Rotation: experiments with Denoising Diffusion Models—0
Deep Noise Suppression Maximizing Non-Differentiable PESQ Mediated by a Non-Intrusive PESQNet—0
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE—0
Head-Neck Dual-energy CT Contrast Media Reduction Using Diffusion Models—0
HDRVideo-GAN: Deep Generative HDR Video Reconstruction—0
Deep Neural Networks to Recover Unknown Physical Parameters from Oscillating Time Series—0
HDR Imaging with Spatially Varying Signal-to-Noise Ratios—0
Hierarchical Piecewise-Constant Super-regions—0
BADGR: Bundle Adjustment Diffusion Conditioned by GRadients for Wide-Baseline Floor Plan Reconstruction—0
HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models—0
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction—0
Deep neural networks for learning graph representations—0
HC^3L-Diff: Hybrid conditional latent diffusion with high frequency enhancement for CBCT-to-CT synthesis—0
Deep neural networks-based denoising models for CT imaging and their efficacy—0
Back to Basics: Fast Denoising Iterative Algorithm—0
High-dimensional learning of narrow neural networks—0
All-in-One Deep Learning Framework for MR Image Reconstruction—0
Adaptive Estimation and Learning under Temporal Distribution Shift—0
Accelerated graph-based nonlinear denoising filters—0
High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching—0
Multi-weather Cross-view Geo-localization Using Denoising Diffusion Models—0
Adapting Language Models for Non-Parallel Author-Stylized Rewriting—0
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples—0
Deep neural network for fringe pattern filtering and normalisation—0
HARDC : A novel ECG-based heartbeat classification method to detect arrhythmia using hierarchical attention based dual structured RNN with dilated CNN—0
Deep Neural Network-Based Quantized Signal Reconstruction for DOA Estimation—0
HanDrawer: Leveraging Spatial Information to Render Realistic Hands Using a Conditional Diffusion Model in Single Stage—0
Handling Noise in Single Image Deblurring Using Directional Filters—0
Deep network series for large-scale high-dynamic range imaging—0
Handling noise in image deblurring via joint learning—0
Handling Background Noise in Neural Speech Generation—0
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models—0
Backpropagation with N-D Vector-Valued Neurons Using Arbitrary Bilinear Products—0
Handheld Burst Super-Resolution Meets Multi-Exposure Satellite Imagery—0
Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery—0
HandCT: hands-on computational dataset for X-Ray Computed Tomography and Machine-Learning—0
Deep Network for Capacitive ECG Denoising—0
Hair and Scalp Disease Detection using Machine Learning and Image Processing—0
D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction—0
Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network—0
Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration—0
Deep MMD Gradient Flow without adversarial training—0
HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging—0
Background Denoising for Ptychography via Wigner Distribution Deconvolution—0
Adaptive dropout for training deep neural networks—0
H3AE: High Compression, High Speed, and High Quality AutoEncoder for Video Diffusion Models—0
Holistic Processing of Colour Images Using Novel Quaternion-Valued Wavelets on the Plane—0
Holographic Neural Architectures—0
Homodyned K-Distribution Parameter Estimation in Quantitative Ultrasound: Autoencoder and Bayesian Neural Network Approaches—0
H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization—0
Show:102550
← PrevPage 68 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