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Knitting Skeletons: A Computer-Aided Design Tool for Shaping and Patterning of Knitted Garments (1904.05681v2)

Published 11 Apr 2019 in cs.HC

Abstract: This work presents a novel interactive system for simple garment composition and surface patterning. Our approach makes it easier for casual users to customize machine-knitted garments, while enabling more advanced users to design their own composable templates. Our tool combines ideas from CAD software and image editing: it allows the composition of (1) parametric knitted primitives, and (2) stitch pattern layers with different resampling behaviours. By leveraging the regularity of our primitives, our tool enables interactive customization with automated layout and real-time patterning feedback. We show a variety of garments and patterns created with our tool, and highlight our ability to transfer shape and pattern customizations between users.

Citations (51)

Summary

Knitting Skeletons: A Computer-Aided Design Tool

The paper "Knitting Skeletons: A Computer-Aided Design Tool" presents an innovative system designed to facilitate the creation and customization of machine-knitted garments. Authored by Alexandre Kaspar, Liane Makatura, and Wojciech Matusik, the research introduces a web-based tool that combines elements of CAD systems and image editing software to offer an intuitive interface for garment design. The main objective is to cater both to casual users, who may want to customize industrial knitting outputs, and advanced users, interested in designing composable templates for knitting.

Key Features of the Tool

The tool incorporates several features that make it a significant addition to textile design:

  1. Parametric Knitting Primitives: The system uses a paradigm of composable knitting primitives, namely Sheet, Joint, and Split, which are used for creating various garment structures. These primitives allow users to design garments with varying complexities, such as gloves, scarves, socks, beanies, and more, through a user-friendly visual interface.
  2. Interactive Web Interface: This interface allows users to manipulate the templates directly, enabling real-time customization of shapes and patterns. Users can create complex garment structures using a graphical skeleton editor, which displays the knitting process over time.
  3. Patterning Domain-Specific Language (DSL): The paper introduces a DSL for laying out pattern designs, allowing operations such as purling, tucking, and miss knitting. This language makes it possible to apply patterns to the underlying stitch topology in a manner similar to traditional image editing.
  4. Layered Pattern Representation: This feature decouples the shaping and patterning processes, allowing users to freely experiment with decoration without altering the structural parameters of the garment.
  5. Simulation and Warnings: The tool provides simulation feedback and warnings to guide users through potential issues like unsafe yarn tension or irregular stitch formations that could lead to production failures.

Implications for Textile Manufacturing

The research highlights the potential of computer-aided knitting to democratize garment customization, allowing users who do not own expensive industrial knitting machines the ability to design their products uniquely. By providing an accessible interface, the system may encourage broader adoption of customized knitting services, facilitating interactions between consumers and textile manufacturers.

Theoretical Implications and Future Developments

From a theoretical standpoint, the work connects the tangible aspect of textile manufacturing with the virtual design environments enabled by CAD and similar interfaces, offering a dual benefit of streamlined production and creative flexibility. The DSL for patterns particularly offers a new approach to garment design, suggesting future expansions could focus on real-time collaborative environments where multiple designers can interact.

While the current work primarily addresses garment structures easily compatible with the primitives, future research might explore more complex garment constructions, such as seamed and cut-and-sew garments, which require handling perpendicular wale flows and continuous interface gluing.

Conclusion

The paper presented by Kaspar, Makatura, and Matusik marks an important step in computational garment design. By allowing in-depth customization akin to CAD applications, the tool bridges high-level design with practical garment production, embodying a novel approach that empowers both novices and experts in textile manufacturing. Future work should broaden the scope to handle complex seamed fabrics and introduce smarter interactive patterns for larger garment designs, enhancing both usability and production reliability.

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