Innovative Ways of Visual Environmental Art and Sustainable Development in Digital Media Under Deep Learning Model

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Authors: Yiran Fan, Yuhao Zhang
Cited by: 0

Abstract

The aim of this research is to improve the current level of visual environment art and achieve sustainable development. This work begins with the background of digital media and is grounded in relevant theories of visual environment art and sustainable development. The questionnaire survey method involves investigating 500 random respondents, focusing on their understanding of digital media and preferences for the development of visual environment art. Next, virtual reality technology and a deep learning model are applied as innovative approaches to research visual environment art and sustainable development. Finally, the paper discusses the development trends of the innovative industry in the context of digital media. The results indicate that about 34.4% of the respondents do not know or understand the development of digital media and visual environment art, while only about 9.2% show some familiarity with new technology.

Fields of Study & Subjects

Digital Media and Visual Art Art Technology and Culture Environmental Sustainability and Technology

Publication details

Journal / source
International Journal of Information Technologies and Systems Approach
Volume
19
Issue
1
Pages
1–24
Publication date
4 February 2026
Language
NG