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This paper describes a new approach for training generative adversarial networks (GAN) to understand the detailed 3D shape of objects.
Skeleton based shape matching and retrieval
H. Sundar, D. Silver, N. Gagvani, and S. Dickinson · 1909
Earlier work this paper cites.
Machine perception of three-dimensional solids
L. G. Roberts · 1963
Earlier work this paper cites.
Vision: A Computational Investigation into the Human Representation and Processing of Visual Information
D. Marr · 1982
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Auto-Encoding Variational Bayes
D. P. Kingma and M. Welling · 2013
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Dense reconstruction using 3d object shape priors
A. Dame, V. A. Prisacariu, C. Y. Ren, and I. Reid · 2013
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Understanding indoor scenes using 3d geometric phrases
W. Choi, Y. W. Chao, C. Pantofaru, and S. Savarese · 2013
Earlier work this paper cites.
Parsing IKEA Objects: Fine Pose Estimation
J. J. Lim, H. Pirsiavash, and A. Torralba · 2013
Earlier work this paper cites.
Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
D. Eigen and R. Fergus · 2014
Earlier work this paper cites.
3d shapenets for 2.5d object recognition and next-best-view prediction
Z. Wu, S. Song, A. Khosla, X. Tang, and J. Xiao · 2014
Earlier work this paper cites.
Describing textures in the wild
M. Cimpoi, S. Maji, I. Kokkinos, S. Mohamed, , and A. Vedaldi · 2014
Earlier work this paper cites.
Data-driven structural priors for shape completion
M. Sung, V. Kim, R. Angst, and L. Guibas · 2015
Cited alongside, same era.
Category-specific object reconstruction from a single image
A. Kar, S. Tulsiani, J. Carreira, and J. Malik · 2015
Cited alongside, same era.
Learning to generate chairs with convolutional neural networks
A. Dosovitskiy, J. T. Springenberg, and T. Brox · 2015
Cited alongside, same era.
3d shapenets: A deep representation for volumetric shape modeling
Z. Wu, S. Song, A. Khosla, F. Yu, L. Zhang, X. Tang, and J. Xiao · 2015
Cited alongside, same era.
Deep generative image models using a laplacian pyramid of adversarial networks
E. L. Denton, S. Chintala, and R. Fergus · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
Cited alongside, same era.
Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
J. Wu, C. Zhang, T. Xue, B. Freeman, and J. Tenenbaum · 2016
Later among the works it cites.
3d-r2n2: A unified approach for single and multi-view 3d object reconstruction
C. B. Choy, D. Xu, J. Gwak, K. Chen, and S. Savarese · 2016
Later among the works it cites.
Learning a predictable and generative vector representation for objects
R. Girdhar, D. F. Fouhey, M. Rodriguez, and A. Gupta · 2016
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Learning to Generalize 3D Spatial Relationships
J. Li, D. Meger, and G. Dudek · 2016
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Sun database: Exploring a large collection of scene categories
J. Xiao, K. A. Ehinger, J. Hays, A. Torralba, and A. Oliva · 2016
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Autoencoding beyond pixels using a learned similarity metric
A. B. L. Larsen, S. K. Sønderby, and O. Winther · 2015
Cited alongside, same era.
Shapenet: An information-rich 3d model repository
A. X. Chang, T. A. Funkhouser, L. J. Guibas, P. Hanrahan, Q. Huang, Z. Li, S. Savarese, M. Savva, S. Song, H. Su, J. Xiao, L. Yi, and F. Yu · 2015
Cited alongside, same era.
Unsupervised representation learning with deep convolutional generative adversarial networks
A. Radford, L. Metz, and S. Chintala · 2015
Cited alongside, same era.
Unsupervised learning of 3d structure from images
D. J. Rezende, S. M. A. Eslami, S. Mohamed, P. Battaglia, M. Jaderberg, and N. Heess · 2016
Cited alongside, same era.
Vconv-dae: Deep volumetric shape learning without object labels
A. Sharma, O. Grau, and M. Fritz · 2016
Cited alongside, same era.
S. Choi, Q.-Y. Zhou, S. Miller, and V. Koltun · 2016
Later among the works it cites.
Deep supervision with shape concepts for occlusion-aware 3d object parsing
C. Li, M. Z. Zia, Q.-H. Tran, X. Yu, G. Hager, and M. Chandraker · 2017
Closest in time.
Interactive 3D Modeling with a Generative Adversarial Network
J. Liu, F. Yu, and T. Funkhouser · 2017
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Context-coherent scenes of objects for camera pose estimation
J. Li, D. Meger, and G. Dudek · 2017
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Wasserstein GAN
M. Arjovsky, S. Chintala, and L. Bottou · 2017
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Improved training of wasserstein gans
I. Gulrajani, F. Ahmed, M. Arjovsky, V. Dumoulin, and A. C. Courville · 2017
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