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arXiv · 1703.00061

SceneSuggest: Context-driven 3D Scene Design

Manolis Savva·Angel X. Chang·Maneesh Agrawala
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Abstract

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 manual search and selection, as well as to suggestions with no automatic orientation. We find that suggestions reduce total modeling time by 32%, that orientation priors reduce time spent re-orienting objects by 27%, and that context-driven suggestions reduce the number of text queries by 50%.

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Manolis Savva, Angel X. Chang, Maneesh Agrawala. 2017-02-28. SceneSuggest: Context-driven 3D Scene Design. https://arxiv.org/abs/1703.00061

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