Neural networks in modern animation art: aesthetic innovations and new horizons
Year: 2024
Type: article
Abstract: The subject of the article is the study of the influence of modern technologies on the process of creating animated content. The author discusses such aspects as the introduction of software tools for animation, the use of motion capture technologies, as well as the role of neural networks and artificial intelligence in the animation industry. Special attention is paid to how these innovations change professional roles, reduce the complexity of the process and open up new opportunities for creativity, as well as related challenges in the field of quality and originality of animated content. The analysis covers two key areas: the technical capabilities of neural network tools and the formation of new aesthetic solutions as a result of the interaction of traditional animation with artificial intelligence. The problem is that although artificial intelligence technologies contribute to the process of accelerating animation creation and significantly expand creative boundaries, giving artists the opportunity to experiment with new styles and techniques, the issue of maintaining creative control on the part of artists, as well as copyright issues, remains acute. The work uses a set of general scientific (comparison, analysis, generalization, typology) and special methods (visual-iconic, artistic-evaluative, critical) and presents empirical material on various practices of using neural network tools in animation art. In general, the article highlights the significant impact of modern technologies on the animation industry and the need to adapt professional skills and educational approaches to these changes. The author's special contribution concerns the analysis of the aesthetic features and capabilities of neural network technologies in creating animation is based on original animation material.
Source: Культура и искусство
Author: Aleksei Yakovlevich Zaitcev
Language: English
Topic: Digital Media and Visual Art
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4406076662