The Reconstruction of Image Aesthetics Driven by the Development of Artificial Intelligence Technology

Chengze Li

2025

Abstract

The remarkable growth of artificial intelligence (AI) has deeply affected contemporary art creation. Image generation, as a result of the merging of AI and art, is reshaping the boundaries of art creation through a distinctive method of creation and infinite potential. This paper reviews the technological changes in machine learning and deep learning and their impact on the popularization of AI art creation. From the perspective of painting production, relevant mainstream datasets, algorithms, and models are introduced, including convolutional neural network models, generative adversarial network models, and diffusion models. This paper further analyzes key element recognition in AI painting and image aesthetic quality assessment. AI not only challenges the position of the subject in artistic creation but also brings about revolutionary changes in artistic aesthetic standards and evaluative criteria. As artificial intelligence technology continues to develop, its integration with art can effectively promote interdisciplinary collaboration and open up new possibilities for innovation, expression, and cultural exchange in the digital age.

Paper Citation

in Harvard Style

Li C. (2025). The Reconstruction of Image Aesthetics Driven by the Development of Artificial Intelligence Technology. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 527-534. DOI: 10.5220/0014362300004718

in Bibtex Style

@conference{emiti25,
author={Chengze Li},
title={The Reconstruction of Image Aesthetics Driven by the Development of Artificial Intelligence Technology},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={527-534},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014362300004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - The Reconstruction of Image Aesthetics Driven by the Development of Artificial Intelligence Technology
SN - 978-989-758-792-4
AU - Li C.
PY - 2025
SP - 527
EP - 534
DO - 10.5220/0014362300004718
PB - SciTePress