HoloCine: Holistic Generation of Cinematic Multi-Shot Long Video
  Narratives
State-of-the-art text-to-video models excel at generating isolated clips but
fall short of creating the coherent, multi-shot narratives, which are the
essence of storytelling. We bridge this "narrative gap" with HoloCine, a model
that generates entire scenes holistically to ensure global consistency from the
first shot to the last. Our architecture achieves precise directorial control
through a Window Cross-Attention mechanism that localizes text prompts to
specific shots, while a Sparse Inter-Shot Self-Attention pattern (dense within
shots but sparse between them) ensures the efficiency required for minute-scale
generation. Beyond setting a new state-of-the-art in narrative coherence,
HoloCine develops remarkable emergent abilities: a persistent memory for
characters and scenes, and an intuitive grasp of cinematic techniques. Our work
marks a pivotal shift from clip synthesis towards automated filmmaking, making
end-to-end cinematic creation a tangible future. Our code is available at:
https://holo-cine.github.io/.
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Yihao Meng
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Hao Ouyang
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Yue Yu
claimed_verified
2025-10-24T16:12:10.696Z
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Bruce Yu
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Qiuyu Wang
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2025-10-24T16:12:13.258Z
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Qiuyu Wang
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Wen Wang
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2025-10-24T16:12:20.293Z
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Wen Wang
user
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Ka Leong Cheng
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Hanlin Wang
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Yixuan Li
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Cheng Chen
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Yanhong Zeng
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Yujun Shen
68fada12f158a71c5a2f580f
Huamin Qu
HoloCine: Holistic Generation of Cinematic Multi-Shot Long Video
  Narratives
State-of-the-art text-to-video models excel at generating isolated clips but
fall short of creating the coherent, multi-shot narratives, which are the
essence of storytelling. We bridge this "narrative gap" with HoloCine, a model
that generates entire scenes holistically to ensure global consistency from the
first shot to the last. Our architecture achieves precise directorial control
through a Window Cross-Attention mechanism that localizes text prompts to
specific shots, while a Sparse Inter-Shot Self-Attention pattern (dense within
shots but sparse between them) ensures the efficiency required for minute-scale
generation. Beyond setting a new state-of-the-art in narrative coherence,
HoloCine develops remarkable emergent abilities: a persistent memory for
characters and scenes, and an intuitive grasp of cinematic techniques. Our work
marks a pivotal shift from clip synthesis towards automated filmmaking, making
end-to-end cinematic creation a tangible future. Our code is available at:
https://holo-cine.github.io/.
HoloCine generates coherent multi-shot narratives using a Window Cross-Attention mechanism and Sparse Inter-Shot Self-Attention, enabling end-to-end cinematic creation.
Window Cross-Attention Sparse Inter-Shot Self-Attention text-to-video models narrative coherence automated filmmaking