Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Embrace AI to Complete Film Odyssey: A Comparative Analysis of Conventional and AI-generated Production Design-Crisis and Prospect
0
Zitationen
1
Autoren
2025
Jahr
Abstract
Artificial Intelligence (AI) technology has been applied to humongous industries and tested out its beneficial potential in finance, engineering, transportation, and so on. Therefore, filmmakers have started to learn and practice the feasibility and efficiency of ai-generated work. This paper explores the crisis and prospects that production designers and art directors could face when using AI technology to produce films. To better understand the pros and cons of AI-generated work in filmmaking, this paper draws a comparative analysis of the conventional and ai-generated production design in three aspects, correspondingly: time efficiency, amount of staff, and production cost. Using interviews and data analysis, this research finds out that AI can improve the efficiency and creativity of production designers; however, it also risks art directors getting replaced in the job markets. Besides, AI-generated production design develops the overall performance of films that require complex visual effects. Yet, the potential of AI-generated production design is a huge topic, enlightening the importance of human intelligence's role in AI technology and producing a qualified film. Furthermore, this research is significant in discovering strategies to fit in the rapidly changing era of AI-generated production designs.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.539 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.426 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.921 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.586 Zit.