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.
翻译:硬木偶是创建 2D 字符动画的最常用的表达方式之一。 创建这些木偶需要将字符分隔成独立移动的部分。 在这项工作中, 我们展示了一种方法, 来自动识别从一个图示表所显示的一小组字符显示的一小组字符显示的这些表达的部件。 这表明了艺术家在创建木偶之前经常画出的角色。 我们的方法经过培训, 以推断出可以重新组合以最佳重建给定的形状的分形部件, 如头部、 躯体和肢体。 我们的结果显示, 在质量和数量上比替代物要好得多。 我们的项目网页 https://zhan-xu.github.io/ parts/ 包括我们的代码和数据 。