# SmartDirector：基于关键帧条件与叙事节奏控制的电影级视频生成

- 来源：HuggingFace Daily Papers（社区热门论文）
- 发布时间：2026-05-27 08:00
- AIHOT 分数：54
- AIHOT 链接：https://aihot.virxact.com/items/cmpqb0qot03dtslnon4mytyos
- 原文链接：https://arxiv.org/abs/2605.27891

## AI 摘要

现有视频生成方法多依赖文本或首尾帧等稀疏条件，难以精确控制叙事结构与节奏。为此，本文提出SmartDirector框架，通过引入多个关键帧来增强视频生成的叙事能力，支持单镜头生成、多镜头合成及视频扩展。该框架分为两阶段：Director-Gen根据关键帧生成低分辨率视频；Director-SR利用高分辨率关键帧作为语义锚点进行超分优化，以恢复细节。为支持训练，构建了从电影中策划单、多镜头序列的数据管道。实验表明，该方法显著优于现有先进方案。

## 正文

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.