Deep Generative Models for Synthetic Data: A Survey

Deep Generative Models for Synthetic Data: A Survey

A growing interest in synthetic data has stimulated the development and advancement of a large variety of deep generative models for a wide range of applications. However, as this research has progressed, its streams have become more specialized and disconnected from one another. This is why models...

Full description

Bibliographic Details
Main Authors: Peter Eigenschink, Thomas Reutterer, Stefan Vamosi, Ralf Vamosi, Chang Sun, Klaudius Kalcher
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
big data
deep learning
generative models
neural networks
synthetic data
Online Access:https://ieeexplore.ieee.org/document/10122524/

Similar Items

Similar Items