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DrawVideo: Grounded and Faithful Multi-Shot Video Generation from Storyboard Keyframe Sketches

Chuanzhi Xu Huiqi Liang Bang Shi Huiming Zhang Guangcheng Lin Yifan Xiao Haodong Chen Qiang Qu Zhicheng Lu Weidong Cai
Oct 2026
Artificial Intelligence Computer Vision

Abstract

Long video generation requires high-fidelity visual synthesis, coherent narrative organization, shot-level structure, and explicit user control. Existing text-to-video methods typically generate videos from a single long-form prompt, making it difficult for creators to directly control character pose, camera composition, spatial layout, and local motion. We propose DrawVideo, a sketch-guided and storyboard-driven framework that grounds multi-shot video generation in creator-provided spatial structure, appearance, and motion. Each shot is specified by a black-and-white sketch, an appearance prompt, and a motion prompt. DrawVideo first generates a structure-aligned reference keyframe, expands the motion description into derivative keyframes representing ordered action states, and then synthesizes local video clips between adjacent keyframes. We further introduce SketchLongVideo, to the best of our knowledge the first evaluation dataset of ordered multi-shot storyboards with aligned sketch, appearance, and motion conditions. Extensive experiments demonstrate strong structural controllability, appearance consistency, intra-shot visual stability, and motion alignment, providing an effective solution for director-oriented video creation.

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