Learning 3D Scene Synthesis from Annotated RGB-D Images

We present a data‐driven method for synthesizing 3D indoor scenes by inserting objects progressively into an initial, possibly, empty scene. Instead of relying on few hundreds of hand‐crafted 3D scenes, we take advantage of existing large‐scale annotated RGB‐D datasets, in particular, the SUN RGB‐D...

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Vydané v:	Computer graphics forum Ročník 35; číslo 5; s. 197 - 206
Hlavní autori:	Kermani, Z. Sadeghipour, Liao, Z., Tan, P., Zhang, H.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.08.2016
Predmet:	3-D graphics Algorithms Analysis Categories Categories and Subject Descriptors (according to ACM CCS) Computer graphics I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling Image processing systems Learning Placement Studies Sun Synthesis
ISSN:	0167-7055, 1467-8659
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