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This paper introduces a 3D shape generative model based on deep neural networks.
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The space of human body shapes: reconstruction and parameterization from range scans
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A probabilistic model for component-based shape synthesis
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Faust: Dataset and evaluation for 3d mesh registration
F. Bogo, J. Romero, M. Loper, and M. J. Black · 2014
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Semantic parametric reshaping of human body models
Y. Yang, Y. Yu, Y. Zhou, S. Du, J. Davis, and R. Yang · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems, 2015
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Smpl: A skinned multi-person linear model
M. Loper, N. Mahmood, J. Romero, G. Pons-Moll, and M. J. Black · 2015
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A. Dai, C. R. Qi, and M. Nießner · 2016
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Tutorial on variational autoencoders
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A point set generation network for 3d object reconstruction from a single image
H. Fan, H. Su, and L. Guibas · 2016
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M. Gadelha, S. Maji, and R. Wang · 2016
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Nips 2016 tutorial: Generative adversarial networks
I. Goodfellow · 2016
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Multi-view 3d models from single images with a convolutional network
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C. Vondrick, H. Pirsiavash, and A. Torralba · 2016
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Convolutional neural networks on surfaces via seamless toric covers
H. Maron, M. Galun, N. Aigerman, M. Trope, N. Dym, E. Yumer, V. G. KIM, and Y. Lipman · 2017
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The shape variational autoencoder: A deep generative model of part-segmented 3d objects
C. Nash and C. K. Williams · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
C. R. Qi, H. Su, K. Mo, and L. J. Guibas · 2017
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Surfnet: Generating 3d shape surfaces using deep residual networks
A. Sinha, A. Unmesh, Q. Huang, and K. Ramani · 2017
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Synthesizing 3d shapes via modeling multi-view depth maps and silhouettes with deep generative networks
A. A. Soltani, H. Huang, J. Wu, T. D. Kulkarni, and J. B. Tenenbaum · 2017
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
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Dynamic faust: Registering human bodies in motion
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Interactive 3d modeling with a generative adversarial network
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M. Tatarchenko, A. Dosovitskiy, and T. Brox · 2017
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Shape inpainting using 3d generative adversarial network and recurrent convolutional networks
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Marrnet: 3d shape reconstruction via 2.5 d sketches
J. Wu, Y. Wang, T. Xue, X. Sun, B. Freeman, and J. Tenenbaum · 2017
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Deep sets
M. Zaheer, S. Kottur, S. Ravanbakhsh, B. Poczos, R. R. Salakhutdinov, and A. J. Smola · 2017
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Rethinking reprojection: Closing the loop for pose-aware shape reconstruction from a single image
R. Zhu, H. K. Galoogahi, C. Wang, and S. Lucey · 2017
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Learning representations and generative models for 3d point clouds
P. Achlioptas, O. Diamanti, I. Mitliagkas, and L. Guibas · 2018
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