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Vidsketch:手绘素描驱动的视频生成与扩散控制
Lifan Jiang1, Shuang Chen1, Boxi Wu1
1State Key Lab of CAD&CG, Zhejiang University, Hangzhou, 310058, China.
概括
VidSketch从手绘草图和文本提示生成高质量的视频动画. 这种新的方法简化了所有技能水平的用户的视频创作,克服了以前静态图像和复杂的边缘图方法的局限性.
科学领域:
- 计算机视觉 计算机视觉
- 人工智能的人工智能
- 生成型模型 生成型模型
背景情况:
- 现有的生成人工智能方法擅长从草图生成静态图像.
- 目前的草图导向视频生成是有限的,通常需要通过边缘地图进行高级绘图技能.
- 需要易于使用的工具,从简单的草图中实现视频动画合成.
研究的目的:
- 介绍VidSketch,这是一个开创性的方法,可以从手绘草图和文本提示生成高质量的视频动画.
- 降低视频内容创作的进入壁垒,弥合业余用户和专业用户之间的差距.
- 为了提供灵活和用户友好的方法,草图引导的视频动画.
主要方法:
- 开发了一个草图插曲策略,以将用户提供的草图序列扩展为完整的视频.
- 引入了基于水平的草图控制策略,以根据用户熟练程度动态调整草图指南.
- 集成的文本提示,以加强对视频内容生成的控制.
主要成果:
- 与VBench指标的基线方法相比,VidSketch表现出优异的性能和通用性.
- 该方法成功地从各种素描输入中生成高质量的视频动画.
- 实验结果验证了拟议的插值和控制策略的有效性.
结论:
- 视频素描 (VidSketch) 代表了素描引导的视频动画合成的重大进步.
- 这种方法增强了输入灵活性,并适应了用户不同的绘图技能.
- VidSketch使更广泛的用户能够有效地创建视频内容.
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