Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis

We introduce a data-driven approach to complete partial 3D shapes through a combination of volumetric deep neural networks and 3D shape synthesis. From a partially-scanned input shape, our method first infers a low-resolution - but complete - output. To this end, we introduce a 3D-Encoder-Predictor...

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Bibliographic Details

Published in:	2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp. 6545 - 6554
Main Authors:	Dai, Angela, Qi, Charles Ruizhongtai, NieBner, Matthias
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2017
Subjects:	Geometry Shape Solid modeling Three-dimensional displays Training
ISSN:	1063-6919, 1063-6919
Online Access:	Get full text
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