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Can I read A Perceptual Control Space for Garment Simulation on EtoBox?
A Perceptual Control Space for Garment Simulation by Leonid Sigal; Moshe Mahler; Spencer Diaz; Kyna McIntosh; Elizabeth Carter; Timothy Richards; Jessica Hodgins is a Computer Science article available to read on EtoBox.
What is A Perceptual Control Space for Garment Simulation about?
We present a perceptual control space for simulation of cloth that works with any physical simulator, treating it as a black box. The perceptual control space provides intuitive, art-directable control over the simulation behavior based on a learned mapping from common descriptors for cloth ( __e.g.__ , flowiness, softness) to the parameters of the simulation. To learn the mapping, we perform a series of perceptual experiments in which the simulation parameters are varied and participants assess the values of the common terms of the cloth on a scale. A multi-dimensional sub-space regression is performed on the results to build a perceptual generative model over the simulator parameters. We evaluate the perceptual control space by demonstrating that the generative model does in fact create simulated clothing that is rated by participants as having the expected properties. We also show that this perceptual control space generalizes to garments and motions not in the original experiments.
Who reads A Perceptual Control Space for Garment Simulation?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Leonid Sigal; Moshe Mahler; Spencer Diaz; Kyna McIntosh; Elizabeth Carter; Timothy Richards; Jessica Hodgins
- Publisher
- Association for Computing Machinery (ACM); Publons; Association for Computing Machinery (ISSN 0730-0301)
- Published
- 2015
- Language
- EN
- Field
- Computer Science (Physical Sciences)