Research on Innovation of Virtual Film Production Technology Based on Deep Learning Algorithms

In order to improve the efficiency and visual performance of film production, this article analyzes virtual production technology based on deep learning, especially in areas such as scene reconstruction, dynamic capture, and special effects generation. The results indicate that convolutional neural networks and generative adversarial networks have significant advantages in image processing and virtual content generation, while long short-term memory networks perform well in dynamic scene generation, demonstrating the widespread potential of deep learning technology in virtual film production.