GRHCFeb 28, 2017

SceneSuggest: Context-driven 3D Scene Design

arXiv:1703.00061v130 citations
Originality Incremental advance
AI Analysis

This addresses the challenge of time-consuming manual 3D scene assembly for designers, though it is incremental as it builds on prior work in 3D scene modeling and retrieval.

The paper tackles the problem of interactive 3D scene design by introducing SceneSuggest, a system that provides context-driven suggestions for 3D model retrieval and placement, resulting in a 32% reduction in total modeling time and a 50% decrease in text queries.

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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