论文标题
猿：从精灵纸上提取零件的零件
APES: Articulated Part Extraction from Sprite Sheets
论文作者
论文摘要
操纵的木偶是创建2D字符动画的最普遍的表示。创建这些木偶需要将字符划分为独立的活动部件。在这项工作中，我们提出了一种方法，可以自动从精灵纸中显示的一小部分角色姿势中自动识别此类铰接的部分，这是艺术家在木偶创建之前经常绘制的角色的例证。我们的方法经过培训，可以推断出铰接的部分，例如可以重新组装的头，躯干和四肢，以最好地重建给定的姿势。我们的结果表明，比定性和定量的替代方案表现出明显更好的性能。
Rigged puppets are one of the most prevalent representations to create 2D character animations. Creating these puppets requires partitioning characters into independently moving parts. In this work, we present a method to automatically identify such articulated parts from a small set of character poses shown in a sprite sheet, which is an illustration of the character that artists often draw before puppet creation. Our method is trained to infer articulated parts, e.g. head, torso and limbs, that can be re-assembled to best reconstruct the given poses. Our results demonstrate significantly better performance than alternatives qualitatively and quantitatively.Our project page https://zhan-xu.github.io/parts/ includes our code and data.
