Text-to-Image Synthesis With Generative Models: Methods, Datasets, Performance Metrics, Challenges, and Future Direction

Text-to-Image Synthesis With Generative Models: Methods, Datasets, Performance Metrics, Challenges, and Future Direction

Text-to-image synthesis, the process of turning words into images, opens up a world of creative possibilities, and meets the growing need for engaging visual experiences in a world that is becoming more image-based. As machine learning capabilities expanded, the area progressed from simple tools and...

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Bibliographic Details
Main Authors: Sarah K. Alhabeeb, Amal A. Al-Shargabi
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning
diffusion model
generative models
generative adversarial network
text-to-image synthesis
Online Access:https://ieeexplore.ieee.org/document/10431766/

Internet

https://ieeexplore.ieee.org/document/10431766/

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