How Can Large Language Models Help Humans in Design and Manufacturing?

no code implementations • 25 Jul 2023 • Liane Makatura, Michael Foshey, Bohan Wang, Felix HähnLein, Pingchuan Ma, Bolei Deng, Megan Tjandrasuwita, Andrew Spielberg, Crystal Elaine Owens, Peter Yichen Chen, Allan Zhao, Amy Zhu, Wil J Norton, Edward Gu, Joshua Jacob, Yifei Li, Adriana Schulz, Wojciech Matusik

The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design.

Polygrammar: Grammar for Digital Polymer Representation and Generation

no code implementations • 5 May 2021 • Minghao Guo, Wan Shou, Liane Makatura, Timothy Erps, Michael Foshey, Wojciech Matusik

Here, we present a parametric, context-sensitive grammar designed specifically for the representation and generation of polymers.

valid

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

2 code implementations • 11 Apr 2019 • Alexandre Kaspar, Liane Makatura, Wojciech Matusik

This work presents a novel interactive system for simple garment composition and surface patterning.

Human-Computer Interaction

Neural Inverse Knitting: From Images to Manufacturing Instructions

1 code implementation • 7 Feb 2019 • Alexandre Kaspar, Tae-Hyun Oh, Liane Makatura, Petr Kellnhofer, Jacqueline Aslarus, Wojciech Matusik

Motivated by the recent potential of mass customization brought by whole-garment knitting machines, we introduce the new problem of automatic machine instruction generation using a single image of the desired physical product, which we apply to machine knitting.