Mural Art in the Context of New Media: A New “Crossover” of Mural Art Driven by Artificial Intelligence
- DOI
- 10.2991/assehr.k.210609.106How to use a DOI?
- Keywords
- new media, Murals, Computer technology
- Abstract
At present, the development of artificial intelligence technology has entered a new stage and become a hot topic of concern. In the field of design, the participation of artificial intelligence reconstructs many aspects of the design process, from computer-aided design to changes in the combination of computation and design depth, design problems oriented to complex agents and human-machine intelligence deep collaboration in the design process. These changes and problems generate new demands for intelligence. It also gives birth to a lot of new theories, new models, new products, new methods and new forms of business, leading to the reform of design thinking and method system. Subsequently, mural art takes the express train of artificial intelligence technology development, and collides with it to produce many new sparks -- new media mural art. In the context of the new media, the development and application of computer technology make the artists can use when writing means more rich, but because of various art styles between close to blend with each other, and on the creative consciousness and creative ideas can begin to learn from other art forms in the relevant approach and creation grammar to enrich the mural creation process and techniques.
- Copyright
- © 2021, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Shengju Li AU - Zhenzhu Wang PY - 2021 DA - 2021/06/10 TI - Mural Art in the Context of New Media: A New “Crossover” of Mural Art Driven by Artificial Intelligence BT - Proceedings of the 2nd International Conference on Language, Art and Cultural Exchange (ICLACE 2021) PB - Atlantis Press SP - 530 EP - 533 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.210609.106 DO - 10.2991/assehr.k.210609.106 ID - Li2021 ER -