AmiGo: Computational Design of Amigurumi Crochet Patterns

TL;DR

This paper introduces AmiGo, a computational method that generates crochet instructions from 3D models of amigurumi toys, automating pattern creation and assembly without sewing.

Contribution

AmiGo is the first system to automatically generate crochet patterns from 3D models, including shape segmentation and join methods, simplifying amigurumi design.

Findings

Successfully generates crochet patterns for diverse shapes

Patterns are easily crochetable and require no sewing

Applicable to a wide range of geometries

Abstract

We propose an approach for generating crochet instructions (patterns) from an input 3D model. We focus on Amigurumi, which are knitted stuffed toys. Given a closed triangle mesh, and a single point specified by the user, we generate crochet instructions, which when knitted and stuffed result in a toy similar to the input geometry. Our approach relies on constructing the geometry and connectivity of a Crochet Graph, which is then translated into a crochet pattern. We segment the shape automatically into chrochetable components, which are connected using the join-as-you-go method, requiring no additional sewing. We demonstrate that our method is applicable to a large variety of shapes and geometries, and yields easily crochetable patterns.