从稀缺的关键镜头与双姿势接之间进行多样化的运动
IEEE transactions on visualization and computer graphics
|February 7, 2024
概括
本研究引入了一种用于角色动画之间的新方法,仅使用起始和目标生成多样化和高质量的过渡. 双向运动生成和拼接方案克服了现有技术的局限性.
科学领域:
- 计算机图形 计算机图形
- 人工智能的人工智能
- 动画动画 动画动画
背景情况:
- 现有的中间化方法通常需要多个输入,这些并不总是可用.
- 当前的技术可以产生缺乏多样性的结果,无法满足艺术需求.
研究的目的:
- 开发一种方法,只使用两个输入 (开始和目标) 来生成多样化,高质量的字符转换.
- 解决现有的中间技术在输入要求和结果多样性方面的局限性.
主要方法:
- 提出了一种双向运动生成和拼接方案.
- 使用两个对立的自回归网络 (条件变量自编码器) 来生成前向和后向转换.
- 引入了一种新的合损失,用于生成运动的中途融合.
主要成果:
- 与现有方法相比,实现了更高的运动质量.
- 产生更多样化的过渡结果.
- 在LaFAN1,Human3.6m和AMASS数据集上表现出有效性.
结论:
- 提出的方法成功地从最小的输入中生成高质量和多样化的字符过渡.
- 双向的方法和灵活的中途接提供了与先前工作相比的显著优势.
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