English

SmartDirector: Keyframe-Conditioned Cinematic Video Generation with Narrative Pacing Control

Computer Vision and Pattern Recognition 2026-05-28 v1 Artificial Intelligence

Abstract

The narrative quality of a video fundamentally determines its perceptual value. Although existing video generation methods can produce visually appealing content, they predominantly rely on sparse conditioning signals such as text prompts or first/last frames, which limits precise control over narrative structure and temporal pacing. In this paper, we propose SmartDirector, a framework that enhances the narrative capacity of video generation models through multiple keyframes. SmartDirector supports flexible generation scenarios including single-shot generation, multi-shot narrative synthesis, and video extension. The framework operates in two stages: Director-Gen generates a low-resolution video conditioned on the provided keyframes, and Director-SR refines the output by exploiting high-resolution keyframes as semantic anchors to recover fine-grained details. To enable robust multi-keyframe training, we construct a data pipeline that curates single-shot and multi-shot sequences from movies. Extensive experiments demonstrate that SmartDirector substantially outperforms existing state-of-the-art approaches. We will release the code to facilitate further research.

Keywords

Cite

@article{arxiv.2605.27891,
  title  = {SmartDirector: Keyframe-Conditioned Cinematic Video Generation with Narrative Pacing Control},
  author = {Zhida Zhang and Jie Ma and Zhan Peng and Haoxue Wu and Yang Han and Jun Liang and Jie Cao and Jing Li},
  journal= {arXiv preprint arXiv:2605.27891},
  year   = {2026}
}
R2 v1 2026-07-22T07:36:08.758Z