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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on pattern analysis and machine intelligence Ročník 44; číslo 5; s. 2628 - 2640
Hlavní autoři:	Sharma, Gopal, Goyal, Rishabh, Liu, Difan, Kalogerakis, Evangelos, Maji, Subhransu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.05.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!