Application of Generative Artificial Intelligence in Film Image Production

Abstract

Generative Artificial Intelligence (AIGC) is a key subset of artificial intelligence that exhibits extraordinary data generation and creation capabilities in multiple fields, such as images, audio, and text. This article aims to explore the application of AIGC in the field of film production, with a particular emphasis on the role of Deep Convolutional Generative Adversarial Networks (DCGANs), and introduces an intuitive teaching method. By implementing DCGAN technology, this study achieved various functions, including generating virtual characters, scenes, style conversion, dynamic image restoration, and enhancement, thereby enhancing the film production process. The visual teaching system promotes rapid mastery of these cutting-edge technologies through intuitive interfaces and interactive operations. Our research shows that DCGAN exhibits extraordinary accuracy and efficiency in producing movie-quality images. In addition, user feedback confirms the excellence and superiority of our visual learning platform. This survey highlights the enormous potential of AIGC in film visual production while also promoting the dissemination and enhancement of related technologies through visual-based learning. This groundbreaking integration of technology and education will cultivate a new generation of innovative filmmakers.