多模态理解与生成统一模型在影视制作中的应用研究OA

Unified multimodal understanding and generation models employ a single model architecture to comprehend se-mantic information across multiple modalities such as text,images,audio,and video,which can perform both understand-ing and generation tasks.Their core principles lie in the alignment and integration of cross-modal semantic information.In recent years,with the development of large-scale pre-training methods,large language models,and diffusion models,the performance of unified multimodal understanding and generation models has improved significantly,demonstrating promis-ing application potential in the film and television industry.Based on this context,this paper provides a comprehensive re-view of unified multimodal understanding and generation models used in film and television production.We introduce the core principles and dataset construction efforts of these models,survey representative works along the film and television production pipeline,and analyze the technical challenges and ethical issues faced in their practical applications.Research suggests that such models can serve as production tools to improve the efficiency of film and television content creation,and also serve as a foundation for future research on the industrialization of film and television.