Render the Possibilities
the 43rd international conference and exhibition on
Computer Graphics & Interactive Techniques
24-28 July
Anaheim, California
the 43rd international conference and exhibition on
24-28 July
Anaheim, California
This compiler can translate high-level descriptions of knitted 3D objects into machine instructions for control of an industrial knitting machine.
James McCann
Carnegie Mellon University, The Walt Disney Company
Lea Albaugh
The Walt Disney Company, Disney Research
Vidya Narayanan
The Walt Disney Company, Disney Research
April Grow
University of California, Santa Cruz, The Walt Disney Company, Disney Research
Wojciech Matusik
Massachusetts Institute of Technology
Jennifer Mankoff
Disney Research Pittsburgh, Carnegie Mellon University
Jessica Hodgins
Carnegie Mellon University, The Walt Disney Company, Disney Research
To modify garment designs, which designers envision in 3D, existing tools require manual editing of 2D patterns. This paper proposes a framework that allows designers to directly apply the changes they seek in 3D and creates 2D patterns that replicate this envisioned geometry when lifted into 3D via physical simulation.
Aric Bartle
Stanford University
Vladimir Kim
Adobe Research
Danny Kaufman
Adobe Research
Alla Sheffer
The University Of British Columbia
Floraine Berthouzoz
Adobe Research
Nicholas Vining
The University Of British Columbia
This paper presents a framework for fitting appearance-model parameters to measurements and applies it to a study of the effectiveness of several light-scattering models and geometric representations used in fabric modeling.
Pramook Khungurn
Cornell University
Daniel Schroeder
Google
Shuang Zhao
University of California, Irvine
Kavita Bala
Cornell University
Steve Marshier
Cornell University
This approach fits CT measurements of physical yarns to procedural models automatically and recovers a full range of statistical parameters. Compared to existing micro-appearance fabric models, which usually involve large data sets, this fitted procedural representation is compact and easy to edit, yet offers similar levels of virtual realism.
Shuang Zhao
University of California, Irvine
Fujun Luan
Cornell University
Kavita Bala
Cornell University