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Foldsketch: enriching garments with physically reproducible folds

Published: 30 July 2018 Publication History

Abstract

While folds and pleats add interest to garments and cloth objects, incorporating them into an existing design manually or using existing software requires expertise and time. We present FoldSketch, a new system that supports simple and intuitive fold and pleat design. FoldSketch users specify the fold or pleat configuration they seek using a simple schematic sketching interface; the system then algorithmically generates both the fold-enhanced 3D garment geometry that conforms to user specifications, and the corresponding 2D patterns that reproduce this geometry within a simulation engine. While previous work aspired to compute the desired patterns for a given target 3D garment geometry, our main algorithmic challenge is that we do not have target geometry to start with. Real-life garment folds have complex profile shapes, and their exact geometry and location on a garment are intricately linked to a range of physical factors such as fabric properties and the garment's interaction with the wearer's body; it is therefore virtually impossible to predict the 3D shape of a fold-enhanced garment using purely geometric means. At the same time, using physical simulation to model folds requires appropriate 2D patterns and initial drape, neither of which can be easily provided by the user. We obtain both the 3D fold-enhanced garment and its corresponding patterns and initial drape via an alternating 2D-3D algorithm. We first expand the input patterns by allocating excess material for the expected fold formation; we then use these patterns to produce an estimated fold-enhanced drape geometry that balances designer expectations against physical reproducibility. We use the patterns and the estimated drape as input to a simulation generating an initial reproducible output. We improve the output's alignment with designer expectations by progressively refining the patterns and the estimated drape, converging to a final fully physically reproducible fold-enhanced garment. Our experiments confirm that FoldSketch reliably converges to a desired garment geometry and corresponding patterns and drape, and works well with different physical simulators. We demonstrate the versatility of our approach by showcasing a collection of garments augmented with diverse fold and pleat layouts specified via the FoldSketch interface, and further validate our approach via comparisons to alternative solutions and feedback from potential users.

Supplementary Material

MP4 File (a133-li.mp4)

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      cover image ACM Transactions on Graphics
      ACM Transactions on Graphics  Volume 37, Issue 4
      August 2018
      1670 pages
      ISSN:0730-0301
      EISSN:1557-7368
      DOI:10.1145/3197517
      Issue’s Table of Contents
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 30 July 2018
      Published in TOG Volume 37, Issue 4

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      Author Tags

      1. folds
      2. garment modeling
      3. sketch-based modeling

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      • (2024)Knowledge Graph Oriented Apparel Digital Design and PracticeApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-20039:1Online publication date: 5-Aug-2024
      • (2024)WasteBanned: Supporting Zero Waste Fashion Design Through Linked EditsProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676395(1-13)Online publication date: 13-Oct-2024
      • (2024)Digital Three-dimensional Smocking DesignACM Transactions on Graphics10.1145/363194543:2(1-17)Online publication date: 3-Jan-2024
      • (2024)Digital Garment AlterationComputer Graphics Forum10.1111/cgf.1524843:7Online publication date: 7-Nov-2024
      • (2024)Computational Smocking through Fabric‐Thread InteractionComputer Graphics Forum10.1111/cgf.1503043:2Online publication date: 30-Apr-2024
      • (2024)It's All About Your Sketch: Democratising Sketch Control in Diffusion Models2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00688(7204-7214)Online publication date: 16-Jun-2024
      • (2023)GarmentCode: Programming Parametric Sewing PatternsACM Transactions on Graphics10.1145/361835142:6(1-15)Online publication date: 5-Dec-2023
      • (2023)InStitches: Augmenting Sewing Patterns with Personalized Material-Efficient PracticeProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581499(1-14)Online publication date: 19-Apr-2023
      • (2023)Designing Personalized Garments with Body MovementComputer Graphics Forum10.1111/cgf.1472842:1(180-194)Online publication date: 2-Jan-2023
      • (2023)Deep Learning for Free-Hand Sketch: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2022.314885345:1(285-312)Online publication date: 1-Jan-2023
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