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We present a unified framework tackling two problems: class-specific 3D reconstruction from a single image, and generation of new 3D shape samples.
Continuous shading of curved surfaces
Henri Gouraud · 1971
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Obtaining shape from shading information
Berthold Horn · 1975
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The laplacian pyramid as a compact image code
Peter J. Burt and Edward H. Adelson · 1983
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The visual hull concept for silhouette-based image understanding
Aldo Laurentini · 1994
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Roxels: Responsibility weighted 3D volume reconstruction
Jeremy S. De Bonet and Paul Viola · 1999
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An occupancy-depth generative model of multi-view images
Pau Gargallo, Peter Sturm, and Sergi Pujades · 1999
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Shape-from-shading: A survey
Ruo Zhang, Ping-Sing Tsai, James Edwin Cryer, and Mubarak Shah · 1999
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A probabilistic framework for space carving
A. Broadhurst, T. W. Drummond, and R. Cipolla · 2001
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A comparison and evaluation of multi-view stereo reconstruction algorithms
Steven Seitz, Brian Curless, James Diebel, Daniel Scharstein, and Richard Szeliski · 2006
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Ray markov random fields for image-based 3D modeling: model and efficient inference
Shubao Liu and David B. Cooper · 2010
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadle, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Auto-Encoding Variational Bayes
Diederik P. Kingma and Max Welling · 2014
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OpenDR: An approximate differentiable renderer
Matthew M. Loper and Michael J. Black · 2014
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Stochastic backpropagation and approximate inference in deep generative models
Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra · 2014
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Reconstructing PASCAL VOC
Sara Vicente, João Carreira, Lourdes Agapito, and Jorge Batista · 2014
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Shape, illumination, and reflectance from shading
Jonathan T. Barron and Jitendra Malik · 2015
Cited alongside, same era.
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, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
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Multi-view stereo: A tutorial
Yasutaka Furukawa and Carlos Hernández · 2015
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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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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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3D shape induction from 2D views of multiple objects
Matheus Gadelha, Subhransu Maji, and Rui Wang · 2017
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Weakly supervised 3d reconstruction with adversarial constraint
JunYoung Gwak, Christopher B Choy, Manmohan Chandraker, Animesh Garg, and Silvio Savarese · 2017
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Category-specific object reconstruction from a single image
Abhishek Kar, Shubham Tulsiani, João Carreira, and Jitendra Malik · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Lei Ba · 2015
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3D ShapeNets: A deep representation for volumetric shape modeling
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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3D-R2N2: A unified approach for single and multi-view 3D object reconstruction
Christopher B Choy, Danfei Xu, JunYoung Gwak, Kevin Chen, and Silvio Savarese · 2016
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Learning a predictable and generative vector representation for objects
R. Girdhar, D.F. Fouhey, M. Rodriguez, and A. Gupta · 2016
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Unsupervised learning of 3D structure from images
Danilo J. Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter Battaglia, Max Jaderberg, and Nicolas Heess · 2016
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Irina Higgins, Loic Matthey, Arka Pal, Christopher Burgess, Xavier Glorot, Matthew Botvinick, Shakir Mohamed, and Alexander Lerchner · 2017
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GRASS: Generative recursive autoencoders for shape structures
Jun Li, Kai Xu, Siddhartha Chaudhuri, Ersin Yumer, Hao Zhang, and Leonidas Guibas · 2017
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3D bounding box estimation using deep learning and geometry
Arsalan Mousavian, Dragomir Anguelov, John Flynn, and Jana Kosecka · 2017
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SurfNet: Generating 3D shape surfaces using deep residual networks
Ayan Sinha, Asim Unmesh, Qixing Huang, and Karthik Ramani · 2017
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SilNet: Single- and multi-view reconstruction by learning from silhouettes
Olivia Wiles and Andrew Zisserman · 2017
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Rethinking reprojection: Closing the loop for pose-aware shape reconstruction from a single image
Rui Zhu, Hamed Kiani Galoogahi, Chaoyang Wang, and Simon Lucey · 2017
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3D-PRNN: Generating shape primitives with recurrent neural networks
Chuhang Zou, Ersin Yumer, Jimei Yang, Duygu Ceylan, and Derek Hoiem · 2017
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