  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.
