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 4601–4650 of 7282 papers

TitleStatusHype
Whiteness-based bilevel estimation of weighted TV parameter maps for image denoising—0
Pre-Training with Diffusion models for Dental Radiography segmentation—0
Pre-training with Fractional Denoising to Enhance Molecular Property Prediction—0
Price of Stability in Quality-Aware Federated Learning—0
Unified Convergence Analysis for Score-Based Diffusion Models with Deterministic Samplers—0
Principal Basis Analysis in Sparse Representation—0
PriorDiffusion: Leverage Language Prior in Diffusion Models for Monocular Depth Estimation—0
A Critical Analysis of Patch Similarity Based Image Denoising Algorithms—0
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior—0
Prioritize Denoising Steps on Diffusion Model Preference Alignment via Explicit Denoised Distribution Estimation—0
Prior Knowledge Input to Improve LSTM Auto-encoder-based Characterization of Vehicular Sensing Data—0
PRISM: Progressive Restoration for Scene Graph-based Image Manipulation—0
Unified Directly Denoising for Both Variance Preserving and Variance Exploding Diffusion Models—0
Privacy-Preserving Encrypted Low-Dose CT Denoising—0
PRNU Emphasis: a Generalization of the Multiplicative Model—0
Proactively Predicting Dynamic 6G Link Blockages Using LiDAR and In-Band Signatures—0
Learning Robust Recommenders through Cross-Model Agreement—0
Unified framework for diffusion generative models in SO(3): applications in computer vision and astrophysics—0
Unified Geometry and Color Compression Framework for Point Clouds via Generative Diffusion Priors—0
Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation—0
Probabilistic Prior Driven Attention Mechanism Based on Diffusion Model for Imaging Through Atmospheric Turbulence—0
Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services—0
Probabilistic self-learning framework for Low-dose CT Denoising—0
Probabilities-Informed Machine Learning—0
Procedural Kernel Networks—0
Processing stationary noise: model and parameter selection in variational methods—0
A Coupling Enhancement Algorithm for ZrO2 Ceramic Bearing Ball Surface Defect Detection Based on Cartoon-texture Decomposition Model and Multi-Scale Filtering Method—0
PRoDeliberation: Parallel Robust Deliberation for End-to-End Spoken Language Understanding—0
A Coordinate Descent Approach to Atomic Norm Denoising—0
WhiteNNer-Blind Image Denoising via Noise Whiteness Priors—0
Product-Level Try-on: Characteristics-preserving Try-on with Realistic Clothes Shading and Wrinkles—0
ProFashion: Prototype-guided Fashion Video Generation with Multiple Reference Images—0
Programmable Annotation with Diversed Heuristics and Data Denoising—0
A Convex Functional for Image Denoising based on Patches with Constrained Overlaps and its vectorial application to Low Dose Differential Phase Tomography—0
Progressive Text-to-Image Generation—0
Unified Noise-aware Network for Low-count PET Denoising—0
ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation—0
Whole-body PET image denoising for reduced acquisition time—0
Unified Representation Learning for Efficient Medical Image Analysis—0
Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough—0
Projection-Free Algorithm for Stochastic Bi-level Optimization—0
Promoting Graph Awareness in Linearized Graph-to-Text Generation—0
PromptBERT: Improving BERT Sentence Embeddings with Prompts—0
A Constrained Optimization approach for Ultrasound Shear Wave Speed Estimation with Time-Lateral Plane Cleaning—0
Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling—0
A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks—0
UniFlowRestore: A General Video Restoration Framework via Flow Matching and Prompt Guidance—0
Propagated Image Filtering—0
Properties of Laplacian Pyramids for Extension and Denoising—0
Properties on n-dimensional convolution for image deconvolution—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