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Supervised 3D reconstruction has witnessed a significant progress through the use of deep neural networks.
Linear-time voxel walking for octrees
J. Arvo · 1988
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Photorealistic scene reconstruction by voxel coloring
S. M. Seitz and C. R. Dyer · 1999
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A theory of shape by space carving
K. N. Kutulakos and S. M. Seitz · 2000
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Image-based visual hulls
W. Matusik, C. Buehler, R. Raskar, S. J. Gortler, and L. McMillan · 2000
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Convex Optimization
S. Boyd and L. Vandenberghe · 2004
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An efficient and robust ray-box intersection algorithm
A. Williams, S. Barrus, R. K. Morley, and P. Shirley · 2005
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3d reconstruction by shadow carving: Theory and practical evaluation
S. Savarese, M. Andreetto, H. Rushmeier, F. Bernardini, and P. Perona · 2007
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Discrete-Time Signal Processing
A. V. Oppenheim and R. W. Schafer · 2009
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Towards internet-scale multi-view stereo
Y. Furukawa, B. Curless, S. Seitz, and R. Szeliski · 2010
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Accurate, dense and robust multiview stereopsis
Y. Furukawa and J. Ponce · 2010
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Scene reconstruction from community photo collections
M. Goesele, J. Ackermann, S. Fuhrmann, R. Klowsky, F. Langguth, P. Müandcke, and M. Ritz · 2010
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The structure-from-motion reconstruction pipeline–a survey with focus on short image sequences
K. Häming and G. Peters · 2010
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Shape from photographs: A multi-view stereo pipeline
C. Hernández and G. Vogiatzis · 2010
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3d convolutional neural networks for human action recognition
S. Ji, W. Xu, M. Yang, and K. Yu · 2010
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Sequential deep learning for human action recognition
M. Baccouche, F. Mamalet, C. Wolf, C. Garcia, and A. Baskurt · 2011
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Dense object reconstruction using semantic priors
Y. Bao, M. Chandraker, Y. Lin, and S. Savarese · 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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Parsing IKEA Objects: Fine Pose Estimation
J. J. Lim, H. Pirsiavash, and A. Torralba · 2013
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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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Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
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Beyond pascal: A benchmark for 3d object detection in the wild
Y. Xiang, R. Mottaghi, and S. Savarese · 2014
Cited alongside, same era.
ShapeNet: An Information-Rich 3D Model Repository
A. X. Chang, T. Funkhouser, L. 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.
Learning to generate chairs with convolutional neural networks
A. Dosovitskiy, J. Tobias Springenberg, and T. Brox · 2015
Cited alongside, same era.
Jointly modeling embedding and translation to bridge video and language
Y. Pan, T. Mei, T. Yao, H. Li, and Y. Rui · 2016
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Volumetric and multi-view cnns for object classification on 3d data
C. R. Qi, H. Su, M. Niessner, A. Dai, M. Yan, and L. J. Guibas · 2016
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Three-dimensional object detection and layout prediction using clouds of oriented gradients
Z. Ren and E. B. Sudderth · 2016
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OctNet: Learning Deep 3D Representations at High Resolutions
G. Riegler, A. Osman Ulusoy, and A. Geiger · 2016
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Improved Techniques for Training GANs
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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Learning from simulated and unsupervised images through adversarial training
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The pascal visual object classes challenge: A retrospective
M. Everingham, S. M. A. Eslami, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2015
Cited alongside, same era.
Visual simultaneous localization and mapping: a survey
J. Fuentes-Pacheco, J. Ruiz-Ascencio, and J. M. Rendón-Mancha · 2015
Cited alongside, same era.
Spatial transformer networks
M. Jaderberg, K. Simonyan, A. Zisserman, and k. kavukcuoglu · 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.
VoxNet: A 3D Convolutional Neural Network for Real-Time Object Recognition
D. Maturana and S. Scherer · 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.
Completing 3d object shape from one depth image
J. Rock, T. Gupta, J. Thorsen, J. Gwak, D. Shin, and D. Hoiem · 2015
Cited alongside, same era.
A. Shrivastava, T. Pfister, O. Tuzel, J. Susskind, W. Wang, and R. Webb · 2016
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Amortised map inference for image super-resolution
C. K. Sønderby, J. Caballero, L. Theis, W. Shi, and F. Huszár · 2016
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Deep metric learning via lifted structured feature embedding
H. O. Song, Y. Xiang, S. Jegelka, and S. Savarese · 2016
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Deep Sliding Shapes for amodal 3D object detection in RGB-D images
S. Song and J. Xiao · 2016
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Theano: A Python framework for fast computation of mathematical expressions
Theano Development Team · 2016
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Deep end2end voxel2voxel prediction
D. Tran, L. Bourdev, R. Fergus, L. Torresani, and M. Paluri · 2016
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Single Image 3D Interpreter Network
J. Wu, T. Xue, J. J. Lim, Y. Tian, J. B. Tenenbaum, A. Torralba, and W. T. Freeman · 2016
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Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling
J. Wu, C. Zhang, T. Xue, W. T. Freeman, and J. B. Tenenbaum · 2016
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Objectnet3d: A large scale database for 3d object recognition
Y. Xiang, W. Kim, W. Chen, J. Ji, C. Choy, H. Su, R. Mottaghi, L. Guibas, and S. Savarese · 2016
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Learning volumetric 3d object reconstruction from single-view with projective transformations
X. Yan, J. Yang, E. Yumer, Y. Guo, and H. Lee · 2016
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Generative visual manipulation on the natural image manifold
J.-Y. Zhu, P. Krähenbühl, E. Shechtman, and A. A. Efros · 2016
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
A. Dai, A. X. Chang, M. Savva, M. Halber, T. Funkhouser, and M. Nießner · 2017
Closest in time.
Multi-view supervision for single-view reconstruction via differentiable ray consistency
S. Tulsiani, T. Zhou, A. A. Efros, and J. Malik · 2017
Closest in time.