用大模型自动生成电影预告片，效果比现有方法更吸引人。
Trailer Reimagined: An Innovative, Llm-DRiven, Expressive Automated Movie Summary framework (TRAILDREAMS)
- 用大模型筛选关键画面和台词，自动生成音效与配音。
- 在观众评分上优于现有自动化预告片方法。
- 适合想快速制作宣传素材的影视团队或创作者。
本文提出TRAILDREAMS，一种基于大语言模型（LLM）的自动化电影预告片生成框架。该框架利用LLM识别影片中的关键视觉片段和高影响力对白，并辅助生成音乐、旁白等音频元素，旨在高效产出富有吸引力且视觉表现力强的预告片。在对比评估中，TRAILDREAMS在观众评分上超越当前最先进的自动化预告片生成方法。然而，其生成结果仍不及真人创作的预告片。尽管如此，TRAILDREAMS展现了自动化创意流程的重要进展，仍需进一步优化以缩小与传统预告片的质量差距。
原文摘要 · Abstract (English)
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.
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