Research on Artificial Intelligence Graphic Generation Technology

Youyi Zhang

2024

Abstract

Generative artificial intelligence has been applied to many scenarios in society. It is an innovative technology field, and its core principle is based on deep learning algorithms and neural network models. From the initial generation of more blurred and simple images, it is now possible to generate extremely complex and highly detailed images. The topic of this paper is the development and application of artificial intelligence graphics technology. This paper lists the development history of image generation and GAN, VAE and Diffusion image generation technology, but different algorithms have their own shortcomings. With the passage of time, the algorithm is constantly optimized and the processing power is also enhanced. Contemporary generative adversarial networks and variational autoencoders, for example, can be used in many aspects of image generation. In the later stage, this paper also analyzes the possibility of combining image generation with games. The development prospect of generative artificial intelligence is bright, and it will bring many conveniences and changes to people's life and work in the future, and promote the development of intelligence in various industries and different field.

Paper Citation

in Harvard Style

Zhang Y. (2024). Research on Artificial Intelligence Graphic Generation Technology. In Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM; ISBN 978-989-758-738-2, SciTePress, pages 79-85. DOI: 10.5220/0013233800004558

in Bibtex Style

@conference{mlscm24,
author={Youyi Zhang},
title={Research on Artificial Intelligence Graphic Generation Technology},
booktitle={Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM},
year={2024},
pages={79-85},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013233800004558},
isbn={978-989-758-738-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM
TI - Research on Artificial Intelligence Graphic Generation Technology
SN - 978-989-758-738-2
AU - Zhang Y.
PY - 2024
SP - 79
EP - 85
DO - 10.5220/0013233800004558
PB - SciTePress