Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling

Article Details
Title:	Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Article URLs:	http://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling
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Authors:	Jiajun Wu	MIT, CSAIL
	Chengkai Zhang	MIT, CSAIL
	Tianfan Xue	MIT, CSAIL
	Bill Freeman	MIT, CSAIL Google Research
	Josh Tenenbaum	MIT, CSAIL
Sharing:	Unknown
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Artifact URLs:	http://papers.nips.cc/paper/6096-learning-a-probabilistic-latent-space-of-object-shapes-via-3d-generative-adversarial-modeling-supplemental.zip
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NSF Award Numbers:	1212849, 1447476, 1231216
DBLP Key:	conf/nips/0001ZXFT16
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Advances in Neural Information Processing Systems, NIPS 2016