Representing Crochet with Stitch Meshes

Guo, R.M.; Lin, Jenny; Narayanan, Vidya; McCann, James

doi:10.1145/3424630.3425409

Cited by 14 publications

(25 citation statements)

References 68 publications

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“…Therefore, we can achieve varied geometries without visibly segmenting the shape, leading to more visually pleasing results than the approach by Igarashi et al [2008a] (see Figure 11 there). Furthermore, our results have a closer resemblance to the input, compared to the method by Guo et al [2020] (see Figure 12 there).…”

Section: Implementation Detailssupporting

confidence: 58%

See 1 more Smart Citation

AmiGo: Computational Design of Amigurumi Crochet Patterns

Edelstein

Peleg

Itzhaky

et al. 2022

Proceedings of the 7th Annual ACM Symposium on Computational Fabrication

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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.

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Section: Implementation Detailssupporting

confidence: 58%

“…It is unclear how to achieve such a parameterization for a general surface. Finally, Guo et al [2020] extended the Stitch Mesh framework to crochet by defining new faces that represent crochet stitches and new edge types that represent the current loop. They produce crochet instructions for 3D models and simulate the expected geometry.…”

Section: Related Workmentioning

confidence: 99%

AmiGo: Computational Design of Amigurumi Crochet Patterns

Edelstein

Peleg

Itzhaky

et al. 2022

Proceedings of the 7th Annual ACM Symposium on Computational Fabrication

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show abstract

“…Many of these simulations [Leaf et al 2018;Yuksel et al 2012] prevent pull-throughs by using large penalty contact forces and limiting step sizes using a known guaranteed displacement limit. Some stitch meshing papers [Guo et al 2020;Narayanan et al 2018Narayanan et al , 2019 avoid closed loops as a result of making the model knittable or machine knittable. In contrast, many of the models from [Yuksel et al 2012] consist of yarns that form closed loops.…”

Section: Related Workmentioning

confidence: 99%

“…We have considered linking numbers between closed loops and virtually closed loops for fixed patterns, but many loopy structures involve open loops, e.g., knittable yarn models [Guo et al 2020;Narayanan et al 2018Narayanan et al , 2019, periodic yarnlevel cloth patterns [Leaf et al 2018], and hair, and it would be useful to generalize these ideas for open and "nearly closed" loops, e.g., to reason about "pull through" between adjacent yarn rows.…”

Section: Limitations and Future Workmentioning

confidence: 99%

Fast linking numbers for topology verification of loopy structures

James

2021

ACM Trans. Graph.

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It is increasingly common to model, simulate, and process complex materials based on loopy structures, such as in yarn-level cloth garments, which possess topological constraints between inter-looping curves. While the input model may satisfy specific topological linkages between pairs of closed loops, subsequent processing may violate those topological conditions. In this paper, we explore a family of methods for efficiently computing and verifying linking numbers between closed curves, and apply these to applications in geometry processing, animation, and simulation, so as to verify that topological invariants are preserved during and after processing of the input models. Our method has three stages: (1) we identify potentially interacting loop-loop pairs, then (2) carefully discretize each loop's spline curves into line segments so as to enable (3) efficient linking number evaluation using accelerated kernels based on either counting projected segment-segment crossings, or by evaluating the Gauss linking integral using direct or fast summation methods (Barnes-Hut or fast multipole methods). We evaluate CPU and GPU implementations of these methods on a suite of test problems, including yarn-level cloth and chainmail, that involve significant processing: physics-based relaxation and animation, user-modeled deformations, curve compression and reparameterization. We show that topology errors can be efficiently identified to enable more robust processing of loopy structures.

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“…To improve relaxation time, they employ a GPU implementation using periodic boundary conditions to simulate modeling unit cells. Stitch Meshes have also been used to model crocheted fabrics [42].…”

Section: Related Workmentioning

confidence: 99%

TopoKnit : A Process-Oriented Representation for Modeling the Topology of Yarns in Weft-Knitted Textiles

Kapllani¹,

Amanatides²,

Dion³

et al. 2021

Preprint

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Machine knitted textiles are complex multi-scale material structures increasingly important in many industries, including consumer products, architecture, composites, medical, and military. Computational modeling, simulation, and design of industrial fabrics require efficient representations of the spatial, material, and physical properties of such structures. We propose a process-oriented representation, TopoKnit, that defines a foundational data structure for representing the topology of weft-knitted textiles at the yarn scale. Process space serves as an intermediary between the machine and fabric spaces, and supports a concise, computationally efficient evaluation approach based on on-demand, near constanttime queries. In this paper, we define the properties of the process space, and design a data structure to represent it and algorithms to evaluate it. We demonstrate the effectiveness of the representation scheme by providing results of evaluations of the data structure in support of common topological operations in the fabric space.

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Representing Crochet with Stitch Meshes

Abstract: pattern stitch mesh simulation fabricated Figure 1: In this paper, we describe how stitch meshes can be used to represent crochet patterns in a way which is amenable to yarn-level visualization and simulation.

Cited by 14 publications

References 68 publications

AmiGo: Computational Design of Amigurumi Crochet Patterns

AmiGo: Computational Design of Amigurumi Crochet Patterns

Fast linking numbers for topology verification of loopy structures

TopoKnit : A Process-Oriented Representation for Modeling the Topology of Yarns in Weft-Knitted Textiles

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