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arXiv · 2609.00919

HyperSketch: Controllable Video Sketching in a Style Hyperspace

Xinding Zhu·Xinye Yang·Yingping Yang·Mengjian Li·Fei Gao·Jiazhou Chen
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Abstract

Vector sketch animation offers tremendous advantages for multimedia and creative design through concise line expressions and flexible editing. Learning-based generation methods of sketch animation have made significant progress in the last decade, but still suffer from limited style diversity and controllability. This paper presents a controllable video sketching method that automatically converts videos into multi-style vector sketch animations. A continuous style hyperspace is constructed by multi-dimensional sketch styles (fidelity, simplicity, text guidance strength) and the timeline. With this hyperspace, stroke control points are parameterized as 4-variable Bernstein polynomials, ensuring smooth and differentiable style transitions. A multi-task, multi-stage optimization framework is designed to learn stroke hyperparameters accurately and efficiently. We further developed a web-based interactive interface that allows real-time style manipulation via editable curves. Experiments show the style controllability, high-quality, and user-friendliness of our method, which outperforms SOTA methods.

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Xinding Zhu, Xinye Yang, Yingping Yang, Mengjian Li, Fei Gao, Jiazhou Chen. 2026-09-01. HyperSketch: Controllable Video Sketching in a Style Hyperspace. https://doi.org/10.1145/3767308.3835664

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