mlsanityData to 7 Oct 2026

Trailer Reimagined: An Innovative, Llm-DRiven, Expressive Automated Movie Summary framework (TRAILDREAMS)

arXiv 2602.02630 ↗First posted 2 Feb 2026cs.MM cs.AIcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 10 of its 34 references that are in the map. First posted on arXiv 2 Feb 2026.

Builds on

10 of 34 references.

References · 10

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2019LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speechcited by 639
  3. 2015An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognitioncited by 519
  4. 2019Character Region Awareness for Text Detectioncited by 273
  5. 2019pyannote.audio: neural building blocks for speaker diarizationcited by 175
  6. 2022Hybrid Transformers for Music Source Separationcited by 134
  7. 2017Deep Reinforcement Learning for Unsupervised Video Summarization with Diversity-Representativeness Rewardcited by 105
  8. 2023Art and the science of generative AI: A deeper divecited by 93
  9. 2023MovieFactory: Automatic Movie Creation from Text using Large Generative Models for Language and Imagescited by 42
  10. 2026An Automatic Deep Learning Approach for Trailer Generation through Large Language Modelscited by 2

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Citing papers per year: 2026: 2.

2 papers.