Pre-recorded Sessions: From 4 December 2020 | Live Sessions: 10 – 13 December 2020

4 – 13 December 2020

#SIGGRAPHAsia | #SIGGRAPHAsia2020

Technical Papers

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Date/Time: 04 – 13 December 2020
All presentations are available in the virtual platform on-demand.


Lecturer(s):
Rundong Wu, Cornell University, United States of America
Joy Xiaoji Zhang, Cornell University, United States of America
Jonathan Leaf, Stanford University, United States of America
Xinru Hua, Stanford University, United States of America
Ante Qu, Stanford University, United States of America
Claire Harvey, T.E.A.M. Inc., United States of America
Emily Holtzman, Rhode Island School of Design, United States of America
Joy Ko, Rhode Island School of Design, United States of America
Brooks Hagan, Rhode Island School of Design, United States of America
Doug James, Stanford University, United States of America
François Guimbretière, Cornell University, United States of America
Steve Marschner, Cornell University, United States of America

Bio:

Description: 3D weaving is an emerging technology for manufacturing multilayer woven textiles. In this work, we present Weavecraft: an interactive, simulation-based design tool for 3D weaving. Unlike existing textile software that uses 2D representations for design patterns, we propose a novel weave block representation that helps the user to understand 3D woven structures and to create complex multi-layered patterns. With Weavecraft, users can create blocks either from scratch or by loading traditional weaves, compose the blocks into large structures, and edit the pattern at various scales. Furthermore, users can verify the design with a physically based simulator, which predicts and visualizes the geometric structure of the woven material and reveals potential defects at an interactive rate. We demonstrate a range of results created with our tool, from simple two-layer cloth and well known 3D structures to a more sophisticated design of a 3D woven shoe, and we evaluate the effectiveness of our system via a formative user study.

 

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