mlsanityData to 14 Oct 2026

SceneSuggest: Context-driven 3D Scene Design

arXiv 1703.00061 ↗First posted 28 Feb 2017cs.GR cs.HCcited by 8

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Abstract (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 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%.

Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 Feb 2017.

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Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 0; 2025: 2; 2026: 1.

8 papers.