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We propose a method to generate 3D shapes using point clouds.
Geometric modeling using octree encoding
Donald Meagher · 1982
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Method for registration of 3-d shapes
Paul J Besl and Neil D McKay · 1992
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Object modelling by registration of multiple range images
Yang Chen and Gérard Medioni · 1992
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A morphable model for the synthesis of 3d faces
Volker Blanz and Thomas Vetter · 1999
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Similarity search in high dimensions via hashing
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Probabilistic principal component analysis
Michael E Tipping and Christopher M Bishop · 1999
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The space of human body shapes: reconstruction and parameterization from range scans
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Random projection trees and low dimensional manifolds
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John Bowers, Rui Wang, Li-Yi Wei, and David Maletz · 2010
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A gromov-hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching
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What shape are dolphins? building 3d morphable models from 2d images
Thomas J Cashman and Andrew W Fitzgibbon · 2013
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Consistent shape maps via semidefinite programming
Qi-Xing Huang and Leonidas Guibas · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Category-specific object reconstruction from a single image
Abhishek Kar, Shubham Tulsiani, Jo?o Carreira, and Jitendra Malik · 2015
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Render for cnn: Viewpoint estimation in images using cnns trained with rendered 3d model views
Hao Su, Charles R. Qi, Yangyan Li, and Leonidas J. Guibas · 2015
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Unsupervised learning of 3D structure from images
Danilo Jimenez Rezende, SM Eslami, Shakir Mohamed, Peter Battaglia, Max Jaderberg, and Nicolas Heess · 2016
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Improved techniques for training gans
Tim Salimans, Ian J. Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Learning a probabilistic latent space of object shapes via 3D generative-adversarial modeling
Jiajun Wu, Chengkai Zhang, Tianfan Xue, William T Freeman, and Joshua B Tenenbaum · 2016
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2014
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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Octnet: Learning deep 3d representations at high resolutions
Gernot Riegler, Ali Osman Ulusoy, and Andreas Geiger
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Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, and Honglak Lee · 2016
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A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas Guibas · 2017
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Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs
Maxim Tatarchenko, Alexey Dosovitskiy, and Thomas Brox · 2017
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