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Context-Aware Content Generation for Virtual Environments

[+] Author Affiliations
Andrew Brock, Theodore Lim, J. M. Ritchie

Heriot Watt University, Edinburgh, UK

Nick Weston

Renishaw plc, Edinburgh, UK

Paper No. DETC2016-59997, pp. V01BT02A045; 8 pages
doi:10.1115/DETC2016-59997
From:
  • ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 1B: 36th Computers and Information in Engineering Conference
  • Charlotte, North Carolina, USA, August 21–24, 2016
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5008-4
  • Copyright © 2016 by ASME

abstract

Large scale scene generation is a computationally intensive operation, and added complexities arise when dynamic content generation is required. We propose a system capable of generating virtual content from non-expert input. The proposed system uses a 3-dimensional variational autoencoder to interactively generate new virtual objects by interpolating between extant objects in a learned low-dimensional space, as well as by randomly sampling in that space. We present an interface that allows a user to intuitively explore the latent manifold, taking advantage of the network’s ability to perform algebra in the latent space to help infer context and generalize to previously unseen inputs.

Copyright © 2016 by ASME

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