Corpus ID: 18858924

SceneSuggest: Context-driven 3D Scene Design

@article{Savva2017SceneSuggestC3,
  title={SceneSuggest: Context-driven 3D Scene Design},
  author={M. Savva and Angel X. Chang and M. Agrawala},
  journal={ArXiv},
  year={2017},
  volume={abs/1703.00061}
}
  • M. Savva, Angel X. Chang, M. Agrawala
  • Published 2017
  • Computer Science
  • ArXiv
  • We present SceneSuggest: an interactive 3D scene design system providing context-driven suggestions for 3D model retrieval and placement. Using a point-and-click metaphor we specify regions in a scene in which to automatically place and orient relevant 3D models. Candidate models are ranked using a set of static support, position, and orientation priors learned from 3D scenes. We show that our suggestions enable rapid assembly of indoor scenes. We perform a user study comparing suggestions to… CONTINUE READING

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