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 3351–3400 of 7282 papers

TitleStatusHype
Convergence of denoising diffusion models under the manifold hypothesis—0
Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond—0
A Scalable Training Strategy for Blind Multi-Distribution Noise Removal—0
Hierarchical Flow Diffusion for Efficient Frame Interpolation—0
Enhancing Sample Generation of Diffusion Models using Noise Level Correction—0
Hierarchical Learning Framework for UAV Detection and Identification—0
Enhancing Recommendation with Denoising Auxiliary Task—0
Hierarchical Piecewise-Constant Super-regions—0
Enhancing Real-World Active Speaker Detection with Multi-Modal Extraction Pre-Training—0
Hierarchical spike coding of sound—0
Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction—0
Convergence Analysis of a Proximal Stochastic Denoising Regularization Algorithm—0
A salt and pepper noise image denoising method based on the generative classification—0
AdvFilter: Predictive Perturbation-aware Filtering against Adversarial Attack via Multi-domain Learning—0
Deep priors for satellite image restoration with accurate uncertainties—0
High-dimensional learning of narrow neural networks—0
Enhancing Motion Dynamics of Image-to-Video Models via Adaptive Low-Pass Guidance—0
ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model—0
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models—0
High Fidelity Text-Guided Music Editing via Single-Stage Flow Matching—0
High-Frequency aware Perceptual Image Enhancement—0
Enhancing Low Light Videos by Exploring High Sensitivity Camera Noise—0
Controlling Ensemble Variance in Diffusion Models: An Application for Reanalyses Downscaling—0
Highly Detailed and Temporal Consistent Video Stylization via Synchronized Multi-Frame Diffusion—0
Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement—0
High Noise Scheduling is a Must—0
Enhancing Label-efficient Medical Image Segmentation with Text-guided Diffusion Models—0
A Critical Analysis of Patch Similarity Based Image Denoising Algorithms—0
Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI—0
Implicit neural representations for end-to-end PET reconstruction—0
Controlled Learning of Pointwise Nonlinearities in Neural-Network-Like Architectures—0
High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction—0
High-resolution efficient image generation from WiFi CSI using a pretrained latent diffusion model—0
Enhancing Glass Defect Detection with Diffusion Models: Addressing Imbalanced Datasets in Manufacturing Quality Control—0
High-Resolution Image Synthesis via Next-Token Prediction—0
Artifact reduction for separable non-local means—0
Enhancing GANs with Contrastive Learning-Based Multistage Progressive Finetuning SNN and RL-Based External Optimization—0
Enhancing Few-Shot Stock Trend Prediction with Large Language Models—0
Controlled and Conditional Text to Image Generation with Diffusion Prior—0
Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Image—0
Artefact removal in ground truth deficient fluctuations-based nanoscopy images using deep learning—0
Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements—0
HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging—0
Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control—0
HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models—0
Bayesian ECG reconstruction using denoising diffusion generative 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
Enhancing Diffusion Models for Inverse Problems with Covariance-Aware Posterior Sampling—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