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 1801–1850 of 7282 papers

TitleStatusHype
ERD: Exponential Retinex decomposition based on weak space and hybrid nonconvex regularization and its denoising application—0
Live2Diff: Live Stream Translation via Uni-directional Attention in Video Diffusion Models—0
Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration—0
What's the score? Automated Denoising Score Matching for Nonlinear Diffusions—0
Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIRCode0
Coherent and Multi-modality Image Inpainting via Latent Space OptimizationCode2
Multi-modal Crowd Counting via a Broker ModalityCode1
DuInNet: Dual-Modality Feature Interaction for Point Cloud Completion—0
Accelerating Mobile Edge Generation (MEG) by Constrained Learning—0
Using Galaxy Evolution as Source of Physics-Based Ground Truth for Generative ModelsCode0
Asymmetric Mask Scheme for Self-Supervised Real Image DenoisingCode1
Implicit Regression in Subspace for High-Sensitivity CEST Imaging—0
Diffusion Models: Tutorial and Survey—0
Enhancing super-resolution ultrasound localisation through multi-frame deconvolution exploiting spatiotemporal coherence—0
Pan-denoising: Guided Hyperspectral Image Denoising via Weighted Represent Coefficient Total VariationCode1
Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine SamplingCode2
Heterogeneous window transformer for image denoisingCode1
Structured Generations: Using Hierarchical Clusters to guide Diffusion ModelsCode0
3D Vessel Graph Generation Using Denoising DiffusionCode1
LaSe-E2V: Towards Language-guided Semantic-Aware Event-to-Video Reconstruction—0
CrowdMoGen: Zero-Shot Text-Driven Collective Motion Generation—0
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models—0
Image-Conditional Diffusion Transformer for Underwater Image Enhancement—0
Mjolnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion—0
FreeCompose: Generic Zero-Shot Image Composition with Diffusion PriorCode1
A Domain Adaptation Model for Carotid Ultrasound: Image Harmonization, Noise Reduction, and Impact on Cardiovascular Risk Markers—0
Linear Attention Based Deep Nonlocal Means Filtering for Multiplicative Noise Removal—0
PROUD: PaRetO-gUided Diffusion Model for Multi-objective GenerationCode0
GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction—0
VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing—0
Optimizing the image correction pipeline for pedestrian detection in the thermal-infrared domain—0
High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching—0
MRIR: Integrating Multimodal Insights for Diffusion-based Realistic Image Restoration—0
Oracle Bone Inscriptions Multi-modal Dataset—0
Orthogonal Constrained Minimization with Tensor _2,p Regularization for HSI Denoising and Destriping—0
Generalized Robust Fundus Photography-based Vision Loss Estimation for High MyopiaCode0
Generative AI Enables EEG Super-Resolution via Spatio-Temporal Adaptive Diffusion Learning—0
NLP Sampling: Combining MCMC and NLP Methods for Diverse Constrained Sampling—0
An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image SynthesisCode1
Diffusion Models for Tabular Data Imputation and Synthetic Data Generation—0
Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather—0
UltraPixel: Advancing Ultra-High-Resolution Image Synthesis to New Peaks—0
Latent Diffusion Model for Generating Ensembles of Climate Simulations—0
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly DetectionCode0
Efficient Terrain Stochastic Differential Efficient Terrain Stochastic Differential Equations for Multipurpose Digital Elevation Model Restoration—0
Stochastic Solutions for Simultaneous Seismic Data Denoising and Reconstruction via Score-based Generative ModelsCode1
Unrolling Plug-and-Play Gradient Graph Laplacian Regularizer for Image Restoration—0
Learning Robust 3D Representation from CLIP via Dual DenoisingCode0
First Place Solution of 2023 Global Artificial Intelligence Technology Innovation Competition Track 1—0
FORA: Fast-Forward Caching in Diffusion Transformer AccelerationCode2
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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