Neural Shape Parsers for Constructive Solid Geometry

Constructive solid geometry (CSG) is a geometric modeling technique that defines complex shapes by recursively applying boolean operations on primitives such as spheres and cylinders. We present CSGNet , a deep network architecture that takes as input a 2D or 3D shape and outputs a CSG program that...

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Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence Jg. 44; H. 5; S. 2628 - 2640
Hauptverfasser:	Sharma, Gopal, Goyal, Rishabh, Liu, Difan, Kalogerakis, Evangelos, Maji, Subhransu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.05.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Annotations Boolean algebra Coders Computer architecture Constructive solid geometry Decoding Grammar Image Processing, Computer-Assisted - methods Image reconstruction Modelling Neural Networks, Computer reinforcement learning Shape shape parsing Software Solid modeling Task analysis Three-dimensional displays Two dimensional displays Two dimensional models
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online-Zugang:	Volltext
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