Back to Search Start Over

APES: Articulated Part Extraction from Sprite Sheets

Authors :
Xu, Zhan
Fisher, Matthew
Zhou, Yang
Aneja, Deepali
Dudhat, Rushikesh
Yi, Li
Kalogerakis, Evangelos
Publication Year :
2022

Abstract

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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2206.02015
Document Type :
Working Paper