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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Bibliographic Details

Published in:	Computer graphics forum Vol. 35; no. 5; pp. 197 - 206
Main Authors:	Kermani, Z. Sadeghipour, Liao, Z., Tan, P., Zhang, H.
Format:	Journal Article
Language:	English
Published:	Oxford Blackwell Publishing Ltd 01.08.2016
Subjects:	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
Online Access:	Get full text
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