SceneWeave: Audience-Guided Scene Exploration for Dramatic Adaptation

Key points

• Adapting prose into a script requires transforming narration and inner experience into scenes that convey relationships and psychological contradictions.1
• The central contribution is to use actual scene writing to inform adaptation decisions and propagate their consequences across the work.1
• We also develop a task-specific writing model and a human-preference model for comparing script drafts.1
• The writing model learns from adaptation examples and human preferences; the preference model combines human and synthetic supervision.1

Sources (1)

• [1]SceneWeave: Audience-Guided Scene Exploration for Dramatic Adaptation
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 15, 11:54 AM

  Drawing on screenwriters' accounts of revising scenes and their connections to the surrounding work, we present SceneWeave, which uses alternative scene drafts to revise the adaptation as a whole.

  Adapting prose into a script requires transforming narration and inner experience into scenes that convey relationships and psychological contradictions.

Extractive summary: sentences quoted from the sources.