Latest Articles for Generative Adversarial Networks

SAFE model improves clarity in AI decision-making through effective counterfactual explanations.

PBT-NAS combines training techniques to improve neural network architecture search.

Using advanced imaging techniques to enhance prostate cancer diagnosis in local clinics.

Strategies for generating images when training data is scarce.

GACN combines GCL and GAN to improve graph representation learning.

A new AI method quickly generates creative book cover images.

Conditional Wasserstein GANs address data scarcity in spectral applications across scientific fields.

Exploring the significance of latent space in creating high-quality generative outputs.

A new method combines physics and deep learning for better muscle assessment.

This article discusses the need for diverse datasets in AI to ensure fairness.

A new method improves person search accuracy in varying scenes using GAN-based techniques.

A study on VQGANs explores how settings influence image quality in generation.

Innovative approach harnesses synthetic images to improve brain tumor detection.

A study presents a model to identify natural and computer-generated images.

Synthetic data generation enhances privacy while enabling valuable data analysis.

Introducing SA-ALAE, a model transforming engineering design generation.

New methods improve image quality while speeding up the process.

Exploring the role of GANs in atmospheric modeling for improved weather forecasts.

A new method enhances realistic texture production for 3D models.

LatentAugment enhances data diversity for machine learning models using GANs.

Using AI to create innovative batik patterns while honoring tradition.

Deep generative models enhance medical imaging through data augmentation techniques.

Deepfake technology poses serious risks in media and communication.

Machine learning enhances wireless channel modeling, improving accuracy and efficiency.

A new system simplifies interior design using text and images.

FETSGAN improves synthetic time-series data creation for various applications.

This method enhances GANs' ability to generate diverse shapes and movements.

New techniques aim to improve audio quality by addressing packet loss.

Explore the workings and applications of GANs in various fields.

A new method to evaluate computer-generated images without real data.

New techniques combine map data and generative models for realistic satellite imagery.

New methods enhance satellite images from text descriptions, improving analysis in remote sensing.

Deep learning models improve sound field reconstruction in complex environments.

This article explores GANs for creating stable Angry Birds structures.

AniPortraitGAN generates realistic 3D portraits from 2D images.

Using unpaired image translation to enhance surgical training data quality.

Combining GANs and VAEs for better image generation.

Examining the threats to Specific Emitter Identification through advanced mimicry techniques.

This research improves robot mapping and positioning using deep learning techniques.

AIDI offers faster and accurate image editing with innovative guidance.