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
Tensor Denoising via Amplification and Stable Rank Methods—0
Modiff: Action-Conditioned 3D Motion Generation with Denoising Diffusion Probabilistic Models—0
CLASH: Contrastive learning through alignment shifting to extract stimulus information from EEG—0
Image Denoising: The Deep Learning Revolution and Beyond -- A Survey Paper --—0
Deep learning for full-field ultrasonic characterization—0
A Data-Driven Gaussian Process Filter for Electrocardiogram Denoising—0
Skip-Attention: Improving Vision Transformers by Paying Less Attention—0
PENDANTSS: PEnalized Norm-ratios Disentangling Additive Noise, Trend and Sparse SpikesCode0
Radio Frequency Fingerprints Extraction for LTE-V2X: A Channel Estimation Based Methodology—0
High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction—0
Chains of Autoreplicative Random Forests for missing value imputation in high-dimensional datasets—0
Iterative Denoiser and Noise Estimator for Self-Supervised Image Denoising—0
Feature Prediction Diffusion Model for Video Anomaly Detection—0
Graphics2RAW: Mapping Computer Graphics Images to Sensor RAW Images—0
PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction—0
Removing Anomalies as Noises for Industrial Defect Localization—0
Diffusion-Based Signed Distance Fields for 3D Shape Generation—0
Controllable Person Image Synthesis with Pose-Constrained Latent Diffusion—0
HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models—0
PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting—0
Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image DenoisingCode0
Innovating Real Fisheye Image Correction with Dual Diffusion Architecture—0
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training—0
Locating Noise is Halfway Denoising for Semi-Supervised Segmentation—0
Fingerprinting Deep Image Restoration Models—0
NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views—0
Polarized Color Image Denoising—0
Hair and Scalp Disease Detection using Machine Learning and Image Processing—0
DIVA: Deep Unfolded Network from Quantum Interactive Patches for Image Restoration—0
Blind Restoration of Real-World Audio by 1D Operational GANsCode0
Image Embedding for Denoising Generative ModelsCode0
S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning—0
ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight ConditionsCode0
Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models—0
Group Sparse Coding for Image Denoising—0
Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise—0
Audio Denoising for Robust Audio Fingerprinting—0
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks—0
On-the-fly Denoising for Data Augmentation in Natural Language UnderstandingCode0
Sophisticated deep learning with on-chip optical diffractive tensor processing—0
SimpleStyle: An Adaptable Style Transfer Approach—0
GanLM: Encoder-Decoder Pre-training with an Auxiliary DiscriminatorCode0
Denoising instrumented mouthguard measurements of head impact kinematics with a convolutional neural network—0
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends—0
Mu^2SLAM: Multitask, Multilingual Speech and Language Models—0
Learning-Based Reconstruction of FRI SignalsCode0
Single Frame Laser Diode Photoacoustic Imaging: Denoising and Reconstruction—0
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management—0
fMRI-based Static and Dynamic Functional Connectivity Analysis for Post-stroke Motor Dysfunction Patient: A Review—0
UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units—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