Overview of the Application of Generative Artificial Intelligence in Film Production
Algorithms, Tools, and Future Trends
Bibliographic Data
| ID | 22433773 |
|---|---|
| Authors | Linze Li (0000-0003-0175-1298, Hospital Universiti Sains Malaysia), M Asyiek Bin Mat Desa (Hospital Universiti Sains Malaysia), Tiancheng Li (0000-0002-0499-5135, Jiangnan University), Wenjie Li (0000-0003-4413-5612, Jiangxi University of Science and Technology) |
| Year | 2026 |
| Volume | 14 |
| Issue | 2 |
| Pages | 22 |
| Publication date | 2026-04-12 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Studies in Media and Communication (JOURNAL) |
| Journal identifiers | ISSN: 2325-8071 • E-ISSN: 2325-808X |
| Publisher | Redfame Publishing (PUBLISHER • CA) |
| DOI | 10.11114/smc.v14i2.8095 |
| OpenAlex | W7115718204 |
| Language | EN |
The rapid evolution of generative artificial intelligence (GenAI) is transforming the film industry. This article reviews key GenAI algorithms, including GANs, VAEs, diffusion models, and transformer-based architectures, and explores their application across various stages of film production, from scriptwriting to post-production. Through case studies such as The Frost and Netflix's AI-assisted projects, the study illustrates GenAI's creative potential and workflow innovations. It also addresses critical ethical and legal concerns, including authorship disputes, deepfakes, and algorithmic bias. Finally, the paper outlines future directions, such as multimodal model integration and AI-human co-creation, advocating for a responsible and human-centered implementation of these technologies.
Artificial general intelligence · Artificial life · Generative grammar · Workflow · Artificial Intelligence in Healthcare and Education · Digital Media and Visual Art · Generative Adversarial Networks and Image Synthesis
| Highly cited | No |
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