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 3651–3700 of 7282 papers

TitleStatusHype
Signal Quality Auditing for Time-series Data—0
Determination of Trace Organic Contaminant Concentration via Machine Classification of Surface-Enhanced Raman SpectraCode0
Spatial-and-Frequency-aware Restoration method for Images based on Diffusion Models—0
Diffusion Model Compression for Image-to-Image Translation—0
Spatial-Aware Latent Initialization for Controllable Image Generation—0
Sliced Wasserstein with Random-Path Projecting DirectionsCode0
EventF2S: Asynchronous and Sparse Spiking AER Framework using Neuromorphic-Friendly Algorithm—0
Neural Network-Based Score Estimation in Diffusion Models: Optimization and Generalization—0
Mitigating the Impact of Noisy Edges on Graph-Based Algorithms via Adversarial Robustness Evaluation—0
Data-Driven Estimation of the False Positive Rate of the Bayes Binary Classifier via Soft Labels—0
VJT: A Video Transformer on Joint Tasks of Deblurring, Low-light Enhancement and Denoising—0
Entrywise Inference for Missing Panel Data: A Simple and Instance-Optimal Approach—0
FLLIC: Functionally Lossless Image Compression—0
UNIMO-G: Unified Image Generation through Multimodal Conditional Diffusion—0
TD^2-Net: Toward Denoising and Debiasing for Dynamic Scene Graph Generation—0
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation LearningCode0
Feature Denoising Diffusion Model for Blind Image Quality Assessment—0
Diffusion Model Conditioning on Gaussian Mixture Model and Negative Gaussian Mixture Gradient—0
Product-Level Try-on: Characteristics-preserving Try-on with Realistic Clothes Shading and Wrinkles—0
Homodyned K-Distribution Parameter Estimation in Quantitative Ultrasound: Autoencoder and Bayesian Neural Network Approaches—0
Application of Joint Notch Filtering and Wavelet Transform for Enhanced Powerline Interference Removal in Atrial Fibrillation Electrograms—0
Fast graph-based denoising for point cloud color information—0
Motion-Zero: Zero-Shot Moving Object Control Framework for Diffusion-Based Video Generation—0
Automatic Tuning of Denoising Algorithms Parameters Without Ground TruthCode0
Sub2Full: split spectrum to boost OCT despeckling without clean dataCode0
Stream Query Denoising for Vectorized HD Map Construction—0
3D Human Pose Analysis via Diffusion Synthesis—0
Siamese Meets Diffusion Network: SMDNet for Enhanced Change Detection in High-Resolution RS Imagery—0
Optimizing k in kNN Graphs with Graph Learning Perspective—0
Robust Tiny Object Detection in Aerial Images amidst Label NoiseCode0
Registration of algebraic varieties using Riemannian optimizationCode0
KADEL: Knowledge-Aware Denoising Learning for Commit Message GenerationCode0
ED-TTS: Multi-Scale Emotion Modeling using Cross-Domain Emotion Diarization for Emotional Speech Synthesis—0
EmoTalker: Emotionally Editable Talking Face Generation via Diffusion Model—0
Multi-scale 2D Temporal Map Diffusion Models for Natural Language Video Localization—0
Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation—0
PolMERLIN: Self-Supervised Polarimetric Complex SAR Image Despeckling with Masked Networks—0
Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble—0
Adaptive Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising and Destriping—0
Frequency-Time Diffusion with Neural Cellular Automata—0
Can Active Label Correction Improve LLM-based Modular AI Systems?—0
Generative AI Meets Semantic Communication: Evolution and Revolution of Communication Tasks—0
Multi-Dimensional Framework for EEG Signal Processing and Denoising Through Tensor-based Architecture—0
A locally statistical active contour model for SAR image segmentation can be solved by denoising algorithms—0
Score Distillation Sampling with Learned Manifold Corrective—0
Representative Feature Extraction During Diffusion Process for Sketch Extraction with One Example—0
Design a Metric Robust to Complicated High Dimensional Noise for Efficient Manifold Denoising—0
Physics-informed Neural Networks for Encoding Dynamics in Real Physical Systems—0
ROIC-DM: Robust Text Inference and Classification via Diffusion Model—0
SAR Despeckling via Regional Denoising Diffusion Probabilistic Model—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