activity
20192025
most citedKnitting Skeletons: A Computer-Aided Design Tool for Shaping and Patterning of Knitted Garments

73 citations · 114 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025

MetaGen: A DSL, Database, and Benchmark for VLM-Assisted Metamaterial Generation

Liane Makatura, Benjamin Jones, Siyuan Bian +1

Metamaterials are micro-architected structures whose geometry imparts highly tunable-often counter-intuitive-bulk properties. Yet their design is difficult because of geometric com…

cs.CL2023★ 29 cited

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

Liane Makatura, Michael Foshey, Bohan Wang +15

The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design. We investigate the application of this tool across the…

physics.chem-ph2021★ 3 cited

Polygrammar: Grammar for Digital Polymer Representation and Generation

Minghao Guo, Wan Shou, Liane Makatura +3

Polymers are widely-studied materials with diverse properties and applications determined by different molecular structures. It is essential to represent these structures clearly a…

cs.HC2019★ 73 cited

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

Alexandre Kaspar, Liane Makatura, Wojciech Matusik

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 garm…

cs.CV2019★ 9 cited

Neural Inverse Knitting: From Images to Manufacturing Instructions

Alexandre Kaspar, Tae-Hyun Oh, Liane Makatura +3

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…