@article{ART003224115},
author={Pyung-Jong Park},
title={Principles and Status of Text-to-Image Generation Artificial Intelligence},
journal={The Journal of Aesthetics and Science of Art},
issn={1229-0246},
year={2025},
volume={75},
pages={9}
TY - JOUR
AU - Pyung-Jong Park
TI - Principles and Status of Text-to-Image Generation Artificial Intelligence
JO - The Journal of Aesthetics and Science of Art
PY - 2025
VL - 75
IS - null
PB - 한국미학예술학회
SP - 9
EP -
SN - 1229-0246
AB - This article grasps the principles of text-to-image generation models and examines key issues related to this new image generation method. The text-to-image generation model was created by combining the large language model and image generation model, which revolutionized natural language processing. The field of computer vision has set a turning point for a leap forward thanks to language understanding with pre-trained learning and the advanced image creation ability of diffusion models. As if competing, Open AI and Google developed new models and led the advancement of image generation capabilities with technological improvements. As a result, it is now possible to generate very realistic, high-quality images simply by entering text prompts. Additionally, elements that are not in the learning data can be generated, increasing the diversity of images. The success or failure of a text-to-image generation model depends on the fit and quality of the text and image, and it is important to create an appropriate prompt. Artificial intelligence automatically generates information, but appropriate human intervention is required in the text-to-image generation model.
KW - Dall·e;Diffusion Model;GPT;LLM;Transformer
DO -
UR -
ER -
Pyung-Jong Park. (2025). Principles and Status of Text-to-Image Generation Artificial Intelligence. The Journal of Aesthetics and Science of Art, 75, 9.
Pyung-Jong Park. 2025, "Principles and Status of Text-to-Image Generation Artificial Intelligence", The Journal of Aesthetics and Science of Art, vol.75, 9.
Pyung-Jong Park "Principles and Status of Text-to-Image Generation Artificial Intelligence" The Journal of Aesthetics and Science of Art 75 9 (2025) : 9.
Pyung-Jong Park. Principles and Status of Text-to-Image Generation Artificial Intelligence. 2025; 75 9.
Pyung-Jong Park. "Principles and Status of Text-to-Image Generation Artificial Intelligence" The Journal of Aesthetics and Science of Art 75(2025) : 9.
Pyung-Jong Park. Principles and Status of Text-to-Image Generation Artificial Intelligence. The Journal of Aesthetics and Science of Art, 75, 9.
Pyung-Jong Park. Principles and Status of Text-to-Image Generation Artificial Intelligence. The Journal of Aesthetics and Science of Art. 2025; 75 9.
Pyung-Jong Park. Principles and Status of Text-to-Image Generation Artificial Intelligence. 2025; 75 9.
Pyung-Jong Park. "Principles and Status of Text-to-Image Generation Artificial Intelligence" The Journal of Aesthetics and Science of Art 75(2025) : 9.
