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 2751–2800 of 7282 papers

TitleStatusHype
On the phase diagram of extensive-rank symmetric matrix denoising beyond rotational invariance—0
Adaptive Caching for Faster Video Generation with Diffusion Transformers—0
Entropy stable conservative flux form neural networks—0
Denoising Fisher Training For Neural Implicit Samplers—0
Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity—0
A Multi-Modal Unsupervised Machine Learning Approach for Biomedical Signal Processing in CPR—0
HC^3L-Diff: Hybrid conditional latent diffusion with high frequency enhancement for CBCT-to-CT synthesis—0
Statistical guarantees for denoising reflected diffusion models—0
Adaptive Domain Learning for Cross-domain Image Denoising—0
Multimodal Graph Neural Network for Recommendation with Dynamic De-redundancy and Modality-Guided Feature De-noisy—0
Deep Multi-contrast Cardiac MRI Reconstruction via vSHARP with Auxiliary Refinement Network—0
Supervised Score-Based Modeling by Gradient Boosting—0
ProGen: Revisiting Probabilistic Spatial-Temporal Time Series Forecasting from a Continuous Generative Perspective Using Stochastic Differential EquationsCode0
Diffusion Models as Cartoonists! The Curious Case of High Density Regions—0
Scalable AI Framework for Defect Detection in Metal Additive Manufacturing—0
TextDestroyer: A Training- and Annotation-Free Diffusion Method for Destroying Anomal Text from Images—0
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component RegularizationCode0
Constrained Diffusion Implicit Models—0
An incremental algorithm based on multichannel non-negative matrix partial co-factorization for ambient denoising in auscultation—0
Denoising Diffusion Models for Anomaly Localization in Medical Images—0
Cycle-Constrained Adversarial Denoising Convolutional Network for PET Image Denoising: Multi-Dimensional Validation on Large Datasets with Reader Study and Real Low-Dose Data—0
Counterfactual MRI Data Augmentation using Conditional Denoising Diffusion Generative ModelsCode0
There and Back Again: On the relation between noises, images, and their inversions in diffusion modelsCode0
Disentangling Disentangled Representations: Towards Improved Latent Units via Diffusion Models—0
DiffPAD: Denoising Diffusion-based Adversarial Patch DecontaminationCode0
Run-Time Adaptation of Neural Beamforming for Robust Speech Dereverberation and Denoising—0
st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image Prediction—0
Deep Learning for 3D Point Cloud Enhancement: A Survey—0
NMformer: A Transformer for Noisy Modulation Classification in Wireless CommunicationCode0
Refined Risk Bounds for Unbounded Losses via Transductive Priors—0
Denoising Diffusion Probabilistic Models for Magnetic Resonance Fingerprinting—0
Unsupervised Training of a Dynamic Context-Aware Deep Denoising Framework for Low-Dose Fluoroscopic ImagingCode0
RDSA: A Robust Deep Graph Clustering Framework via Dual Soft AssignmentCode0
Temporal and Spatial Super Resolution with Latent Diffusion Model in Medical MRI images—0
Class-Aware Contrastive Optimization for Imbalanced Text Classification—0
RDSinger: Reference-based Diffusion Network for Singing Voice Synthesis—0
Graph Sparsification for Enhanced Conformal Prediction in Graph Neural Networks—0
Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIsCode0
Generative Simulations of The Solar Corona Evolution With Denoising Diffusion : Proof of ConceptCode0
Attention Overlap Is Responsible for The Entity Missing Problem in Text-to-image Diffusion Models!—0
Enhancing CTR Prediction in Recommendation Domain with Search Query Representation—0
Enhanced channel estimation for near-field IRS-aided multi-user MIMO system via a large deep residual network—0
On Inductive Biases That Enable Generalization of Diffusion TransformersCode0
One-Step Diffusion Policy: Fast Visuomotor Policies via Diffusion Distillation—0
A Novel Score-CAM based Denoiser for Spectrographic Signature Extraction without Ground Truth—0
Conditional GAN for Enhancing Diffusion Models in Efficient and Authentic Global Gesture Generation from Audios—0
Equivariant Blurring Diffusion for Hierarchical Molecular Conformer GenerationCode0
High Resolution Seismic Waveform Generation using Denoising Diffusion—0
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts—0
A Flow-based Truncated Denoising Diffusion Model for Super-resolution Magnetic Resonance Spectroscopic Imaging—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