Fast 3D Indoor Scene Synthesis by Learning Spatial Relation Priors of Objects
We present a framework for fast synthesizing indoor scenes, given a room geometry and a list of objects with learnt priors. Unlike existing data-driven solutions, which often learn priors by co-occurrence analysis and statistical model fitting, our method measures the strengths of spatial relations...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 28(2022), 9 vom: 01. Sept., Seite 3082-3092
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| 1. Verfasser: |
Zhang, Song-Hai
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Shao-Kui,
Xie, Wei-Yu,
Luo, Cheng-Yang,
Yang, Yong-Liang,
Fu, Hongbo |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2022
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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