Deep convolutional inverse graphics network
This paper presents the Deep Convolution Inverse Graphics Network (DC-IGN), a model that aims to learn an interpretable representation of images, disentangled with respect to three-dimensional scene structure and viewing transformations such as depth rotations and lighting variations. The DC-IGN mod...
| Main Authors: | , , , |
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| Format: | Article |
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Neural Information Processing Systems Foundation, Inc
2017
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| Online Access: | http://hdl.handle.net/1721.1/112752 https://orcid.org/0000-0002-7077-2765 https://orcid.org/0000-0002-0628-6789 https://orcid.org/0000-0002-1925-2035 |