Post-Human Perspectives on Film: Exploring Innovative Applications of AIGC
DOI:
https://doi.org/10.65455/thwcfx26关键词:
AIGC, Film, Creative Practices, Virtual Production, VR Imagery摘要
The advent of AIGC(Artificial Intelligence Generated Content) represents a silicon-driven revolution for the carbon-based era of cinema. Human approaches to filmmaking have evolved—from celluloid to digital, from handwritten scripts to computer-generated texts—and are now increasingly oriented toward the development and collaboration with AIGC. During the process of employing AIGC in film production, it has become deeply embedded in cinematic art, whether through the secondary creation of celluloid imagery, collaborative brainstorming with humans, or integration with VR to craft new and enhanced viewing experiences. This study demonstrates that AIGC can significantly enhance the efficiency and creativity of film production, offering innovative solutions for image restoration, facilitating seamless human–machine collaboration, and enabling immersive VR-based cinematic experiences. By systematically analyzing these applications, the research provides a framework for understanding the transformative impact of AIGC on contemporary cinema and highlights its potential to redefine aesthetic and production standards in the film industry.
参考
[1]LIU Y, WANG H. Application of deep learning for transformation of Chinese traditional cultural narrative patterns and enhancement of cultural identity empowered by AIGC. Scientific Reports, 2025, 16(1): 2505.
[2]WANG Y Y. Research on the Application of AIGC Technology in Three-Dimensional Animation Creation. Advances in Social Science and Culture, 2025, 7(6).
[3]LI J, AI F, HUANG J, et al. Application of AIGC in medical education: a systematic review of the impact on critical thinking abilities of medical students. JMIR Medical Education, 2025.
[4]LIU Y, CHEN Y, FANG Z. Study on the Impact of AIGC Technology Integration Application on Consumer Behavioral Intentions of Chinese Ethnic Minority Cultures. SAGE Open, 2025, 15(4).
[5]REN Y, QU Y, GAO R. Data quality challenges of AIGC application in smart agriculture. Frontiers in Artificial Intelligence, 2025, 8: 1640805.
[6]CUI Y. Research on the Application Strategy of AIGC in Project based Teaching of Interior Design CAD Drawing Course. Scientific Journal of Humanities and Social Sciences, 2025, 7(10): 48–54.
[7]HU B, LUO Q, WANG Q. Exploring the application of AIGC in high school information technology programming instruction—A case study of "Python Programming: Conditional Structures". Advances in Engineering Innovation, 2025, 16(8): 92–99.
[8]JIN H B. Collaborative Application of CAD Technology and Deep Learning in Art Design Under AIGC Background. Journal of Cases on Information Technology (JCIT), 2025, 27(1): 1–22.
[9]HENG Y. AIGC in Film and Television Special Effects Production: Problems and Solutions. Research and Commentary on Humanities and Arts, 2025, 3(6).
[10]WANG C, ZHU Y, ZHANG X, et al. Areas of research focus and trends in the research on the application of AIGC in healthcare. Journal of Health, Population, and Nutrition, 2025, 44(1): 195.
[11]LIU Q. Application of AI-Assisted Painting Creation Based on AIGC Background//Proceedings of the 3rd International Conference on Art, Design and Social Sciences. 2024, 208–213.
[12]JING L. Application Status Analysis of AIGC Mobile Learning Terminal Technology for Higher Education Teaching. Frontiers in Educational Research, 2024, 7(10).
[13]WU X, WANG Y. Application of AIGC Based Virtual Community in Rural Cultural Revitalization. Journal of Research in Science and Engineering, 2024, 6(9): 51–53.
[14]LI J, LIU Q. Application of Generative Artificial Intelligence AIGC Technology Under Neural Network Algorithm in Game Character Art Design. Journal of the Knowledge Economy, 2024, 16(1): 1–32.
##submission.downloads##
已出版
##submission.license##
##submission.copyrightStatement##
##submission.license.cc.by4.footer##