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We study the problem of 3D object generation.
An algorithm and data structure for 3d object synthesis using surface patch intersections
Wayne E Carlson · 1982
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A morphable model for the synthesis of 3d faces
Volker Blanz and Thomas Vetter · 1999
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On visual similarity based 3d model retrieval
Ding-Yun Chen, Xiao-Pei Tian, Yu-Te Shen, and Ming Ouhyoung · 2003
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Rotation invariant spherical harmonic representation of 3 d shape descriptors
Michael Kazhdan, Thomas Funkhouser, and Szymon Rusinkiewicz · 2003
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A survey of content based 3d shape retrieval methods
Johan WH Tangelder and Remco C Veltkamp · 2008
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Sun database: Large-scale scene recognition from abbey to zoo
Jianxiong Xiao, James Hays, Krista Ehinger, Aude Oliva, and Antonio Torralba · 2010
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Probabilistic reasoning for assembly-based 3d modeling
Siddhartha Chaudhuri, Evangelos Kalogerakis, Leonidas Guibas, and Vladlen Koltun · 2011
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A survey on shape correspondence
Oliver Van Kaick, Hao Zhang, Ghassan Hamarneh, and Daniel Cohen-Or · 2011
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A probabilistic model for component-based shape synthesis
Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphne Koller, and Vladlen Koltun · 2012
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Example-based 3d object reconstruction from line drawings
Tianfan Xue, Jianzhuang Liu, and Xiaoou Tang · 2012
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Parsing ikea objects: Fine pose estimation
Joseph J. Lim, Hamed Pirsiavash, and Antonio Torralba · 2013
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Rectifier nonlinearities improve neural network acoustic models
Andrew L Maas, Awni Y Hannun, and Andrew Y Ng · 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
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2014
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Shapenet: An information-rich 3d model repository
Angel X Chang, Thomas Funkhouser, Leonidas Guibas, et al · 2015
Cited alongside, same era.
Deep generative image models using a laplacian pyramid of adversarial networks
Emily L Denton, Soumith Chintala, and Rob Fergus · 2015
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Learning to generate chairs with convolutional neural networks
Alexey Dosovitskiy, Jost Tobias Springenberg, and Thomas Brox · 2015
Cited alongside, same era.
Analysis and synthesis of 3d shape families via deep-learned generative models of surfaces
Haibin Huang, Evangelos Kalogerakis, and Benjamin Marlin · 2015
Cited alongside, same era.
Category-specific object reconstruction from a single image
Abhishek Kar, Shubham Tulsiani, Joao Carreira, and Jitendra Malik · 2015
Cited alongside, same era.
Learning a predictable and generative vector representation for objects
Rohit Girdhar, David F Fouhey, Mikel Rodriguez, and Abhinav Gupta · 2016
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Generating images with recurrent adversarial networks
Daniel Jiwoong Im, Chris Dongjoo Kim, Hui Jiang, and Roland Memisevic · 2016
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Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, and Ole Winther · 2016
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Precomputed real-time texture synthesis with markovian generative adversarial networks
Chuan Li and Michael Wand · 2016
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Volumetric and multi-view cnns for object classification on 3d data
Charles R Qi, Hao Su, Matthias Niessner, Angela Dai, Mengyuan Yan, and Leonidas J Guibas · 2016
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Diederik P Kingma and Jimmy Ba · 2015
Cited alongside, same era.
Joint embeddings of shapes and images via cnn image purification
Yangyan Li, Hao Su, Charles Ruizhongtai Qi, Noa Fish, Daniel Cohen-Or, and Leonidas J Guibas · 2015
Cited alongside, same era.
Voxnet: A 3d convolutional neural network for real-time object recognition
Daniel Maturana and Sebastian Scherer · 2015
Cited alongside, same era.
Deeppano: Deep panoramic representation for 3-d shape recognition
Baoguang Shi, Song Bai, Zhichao Zhou, and Xiang Bai · 2015
Cited alongside, same era.
Striving for simplicity: The all convolutional net
Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox, and Martin Riedmiller · 2015
Cited alongside, same era.
3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
Cited alongside, same era.
Data-driven 3d voxel patterns for object category recognition
Yu Xiang, Wongun Choi, Yuanqing Lin, and Silvio Savarese · 2015
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2016
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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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Orientation-boosted voxel nets for 3d object recognition
Nima Sedaghat, Mohammadreza Zolfaghari, and Thomas Brox · 2016
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Vconv-dae: Deep volumetric shape learning without object labels
Abhishek Sharma, Oliver Grau, and Mario Fritz · 2016
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Generative image modeling using style and structure adversarial networks
Xiaolong Wang and Abhinav Gupta · 2016
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Single image 3d interpreter network
Jiajun Wu, Tianfan Xue, Joseph J Lim, Yuandong Tian, Joshua B Tenenbaum, Antonio Torralba, and William T Freeman · 2016
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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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Generative visual manipulation on the natural image manifold
Jun-Yan Zhu, Philipp Krähenbühl, Eli Shechtman, and Alexei A Efros · 2016
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