Latest Articles for Generative Adversarial Networks

Improving speaker anonymization technology for nine languages to ensure privacy.

A new model enhances consistency and clarity in carotid ultrasound imaging.

A straightforward look at Energy-Based Models and their role in generating data.

New deep learning techniques improve structural health monitoring and early damage detection.

Researchers create synthetic ERG signals to improve diagnosis of autism spectrum disorder.

This study explores the use of GANs to create synthetic MRI images.

A new approach to detecting concept drift using past data enhances model accuracy.

New methods create CT scans from MRI images to ease patient stress.

A new method improves radar signal quality through advanced restoration techniques.

HPix combines deep learning with satellite images to create precise vector maps.

A method improving medical imaging consistency across different labs.

Synthetic data generation aids healthcare research while protecting patient privacy.

A look at methods to enhance image quality affected by haze.

New data methods improve predictions on substance use behaviors.

A new method improves image generation for autonomous driving in adverse conditions.

CycleMix enhances AI models by mixing image styles for better performance.

Exploring the role of tensor networks in enhancing quantum machine learning.

Improving audio quality in devices through bandwidth expansion techniques.

New methods improve hyperspectral imaging for better surgical outcomes.

A new method improves detection of AI-generated images by focusing on textured areas.

New method enhances synthetic data generation while ensuring privacy protection.

A comprehensive look at self-supervised learning methods in text recognition.

Exploring the role of modified gravity in understanding cosmic phenomena.

New model improves lip synchronization and visual quality in talking head videos.

Introducing a novel method for improved extraction from complex AI models using SHAP values.

A novel approach merges multitask learning and generative adversarial networks for NLP tasks.

An overview of generative models, highlighting VAEs, GANs, and Stable Diffusion.

A new method improves image resolution using self-similarity analysis.

A study on the effectiveness of QGANs versus Markov models in eye tracking.

A new method using GANs to improve deep learning testing.

Research shows generative models improve self-supervised learning in time series classification.

This article discusses the role of generative AI in enhancing machine vision applications.

A new method uses GANs to improve dietary assessments with realistic food images.

Innovative methods improve translation of endangered languages using machine learning techniques.

TransTox uses AI to improve predictions of drug safety across organs.

Exploring how GANs can enhance translation for languages with limited data.

G3FA uses 3D data to create realistic face animations efficiently.

Introducing McCaD: A new approach to high-quality MRI image synthesis.

RevCD enhances zero-shot learning by linking visual and semantic information for unseen categories.

A framework to secure image privacy while maintaining model accuracy.