Dual octree graph networks for learning adaptive volumetric shape representations
We present an adaptive deep representation of volumetric fields of 3D shapes and an efficient approach to learn this deep representation for high-quality 3D shape reconstruction and auto-encoding. Our method encodes the volumetric field of a 3D shape with an adaptive feature volume organized by an o...
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Published in | ACM transactions on graphics Vol. 41; no. 4; pp. 1 - 15 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
New York, NY, USA
ACM
22.07.2022
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Subjects | |
Online Access | Get full text |
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