This paper introduces TRAILDREAMS, a framework that uses a large language model (LLM) to automate the production of movie trailers. The purpose of LLM is to select key visual sequences and impactful dialogues, and to help TRAILDREAMS to generate audio elements such as music and voiceovers. The goal is to produce engaging and visually appealing trailers efficiently. In comparative evaluations, TRAILDREAMS surpasses current state-of-the-art trailer generation methods in viewer ratings. However, it still falls short when compared to real, human-crafted trailers. While TRAILDREAMS demonstrates significant promise and marks an advancement in automated creative processes, further improvements are necessary to bridge the quality gap with traditional trailers.

翻译：本文介绍了TRAILDREAMS框架，该框架利用大型语言模型（LLM）自动化生成电影预告片。LLM的作用在于选取关键视觉序列和富有冲击力的对话，并协助TRAILDREAMS生成音乐和画外音等音频元素，旨在高效制作引人入胜且视觉吸引力强的预告片。在对比评估中，TRAILDREAMS在观众评分上超越了当前最先进的预告片生成方法，但与真实的人工制作预告片相比仍存在差距。尽管TRAILDREAMS展现出巨大潜力，并标志着自动化创意流程的进步，但仍需进一步改进以缩小与传统预告片的质量差距。