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arXiv · 2606.24107

DramaDirector: Geometry-Guided Short Drama Generation

Hengji Zhou·Sijie Liu·Jianrun Chen·Xingchen Zou·Lianghao Xia·Liqiang Nie
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Abstract

Short dramas, with their rapid shot rhythms, dialogue-driven focus shifts, and demanding cinematographic grounding, pose challenges that prompt-level or text-only video generation pipelines struggle to meet. We study plot-to-short-drama generation, where a global plot and local context are transformed into visually grounded multi-shot videos. We propose DramaDirector, a geometry-grounded framework that lets the planner borrow cinematographic geometry from a gallery of real short-drama shots indexed by depth and pose. DramaDirector decouples each shot into static visual and dynamic narrative conditions, trains the planner with schema-constrained SFT and GRPO under a learned text-visual alignment reward, and retrieves depth-pose references to guide first-frame generation and image-to-video synthesis. We also introduce DramaBoard, a benchmark built from 35 live-action dramas, 2.8K episodes, and 81K shots, with structured storyboards and multi-dimensional evaluation protocols. Experiments show that DramaDirector improves over representative multi-agent and video generation baselines on faithfulness, consistency, and controllability. Our code is released at: https://github.com/iLearn-Lab/DramaDirector

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Hengji Zhou, Sijie Liu, Jianrun Chen, Xingchen Zou, Lianghao Xia, Liqiang Nie. 2026-07-03. DramaDirector: Geometry-Guided Short Drama Generation. https://arxiv.org/abs/2606.24107

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