The Practice and Research of AIGC Technology in Digital Media Art Creation

This paper delves into the transformative impact of Artificial Intelligence Generated Content (AIGC) on the landscape of digital media art creation. The rapid advancement of AIGC technology in recent years has ushered in a new era of creativity and innovation within the digital realm. This study traces the evolution of AIGC, from its theoretical foundations in the mid-20th century to its current applications across various digital media formats. It examines the multifaceted applications of AIGC in generating text, images, videos, and music, highlighting its profound effects on creative practices and artistic expression. The paper further explores the role of AIGC in revolutionizing immersive experiences in digital theater, streamlining the production of AI-powered movies, and significantly enhancing the efficiency of game development. Additionally, it envisions the future potential of AIGC in fostering cross-industry innovation and democratizing access to digital media art creation. By analyzing both the current capabilities and future prospects of AIGC, this paper provides a comprehensive overview of its integration into the digital media art ecosystem and its implications for the future of artistic creation and consumption. The research underscores the immense potential of AIGC to empower artists, broaden creative possibilities, and reshape the digital media art landscape in the years to come.

Authors

Institutions

Publication Details

Journal
Lecture Notes in Education Psychology and Public Media
Published
2025-05-23
DOI
https://doi.org/10.54254/2753-7048/2025.23186
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Practice and Research of AIGC Technology in Digital Media Art Creation

Heqing Li
Lecture Notes in Education Psychology and Public Media
Digital Media and Visual Art
article

The Practice and Research of AIGC Technology in Digital Media Art Creation

Heqing Li
article en

Abstract

This paper delves into the transformative impact of Artificial Intelligence Generated Content (AIGC) on the landscape of digital media art creation. The rapid advancement of AIGC technology in recent years has ushered in a new era of creativity and innovation within the digital realm. This study traces the evolution of AIGC, from its theoretical foundations in the mid-20th century to its current applications across various digital media formats. It examines the multifaceted applications of AIGC in generating text, images, videos, and music, highlighting its profound effects on creative practices and artistic expression. The paper further explores the role of AIGC in revolutionizing immersive experiences in digital theater, streamlining the production of AI-powered movies, and significantly enhancing the efficiency of game development. Additionally, it envisions the future potential of AIGC in fostering cross-industry innovation and democratizing access to digital media art creation. By analyzing both the current capabilities and future prospects of AIGC, this paper provides a comprehensive overview of its integration into the digital media art ecosystem and its implications for the future of artistic creation and consumption. The research underscores the immense potential of AIGC to empower artists, broaden creative possibilities, and reshape the digital media art landscape in the years to come.

Lecture Notes in Education Psychology and Public MediaVol. 95(1)
Vitebsk State University named after P.M. Masherov (BY)
Openalex Percentile: Top 80%
Digital Media and Visual Art
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.