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Traditional approaches for learning 3D object categories use either synthetic data or manual supervision.
Machine perception of three-dimensional solids
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Three-dimensional object recognition from single two-dimensional images
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Least-squares estimation of transformation parameters between two point patterns
S. Umeyama · 1991
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Face recognition based on fitting a 3d morphable model
V. Blanz and T. Vetter · 2003
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3d generic object categorization, localization and pose estimation
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Acquisition, compression and rendering of depth and texture for multi-view video
Y. Y. Morvan · 2009
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Pose estimation for category specific multiview object localization
M. Ozuysal, V. Lepetit, and P.Fua · 2009
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A multi-view probabilistic model for 3d object classes
i. Sun, H. Su, S. Savarese, and L. Fei-Fei · 2009
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The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. I. Williams, J. Winn, and A. Zisserman · 2010
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Finding nemo: Deformable object class modelling using curve matching
M. Prasad, A. Fitzgibbon, A. Zisserman, and L. V. Gool · 2010
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Model evolution: An incremental approach to non-rigid structure from motion
S. Zhu, L. Zhang, and B. M. Smith · 2010
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Viewpoint-aware object detection and pose estimation
D. Glasner, M. Galun, S. Alpert, R. Basri, and G. Shakhnarovich · 2011
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Kinectfusion: Real-time dense surface mapping and tracking
R. A. Newcombe, S. Izadi, O. Hilliges, D. Molyneaux, D. Kim, A. J. Davison, P. Kohi, J. Shotton, S. Hodges, and A. Fitzgibbon · 2011
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3D is here: Point Cloud Library (PCL)
R. B. Rusu and S. Cousins · 2011
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Teaching 3d geometry to deformable part models
B. Pepik, M. Stark, P. Gehler, and B. Schiele · 2012
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Parsing ikea objects: Fine pose estimation
J. J. Lim, H. Pirsiavash, and A. Torralba · 2013
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Detailed 3d representations for object recognition and modeling
Z. Zia, M. Stark, B. Schiele, and K. Schindler · 2013
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Seeing 3d chairs: exemplar part-based 2d-3d alignment using a large dataset of cad models
M. Aubry, D. Maturana, A. Efros, B. Russell, and J. Sivic · 2014
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Multi-view priors for learning detectors from sparse viewpoint data
B. Pepik, M. Stark, P. Gehler, and B. Schiele · 2014
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Beyond pascal: A benchmark for 3d object detection in the wild
Y. Xiang, R. Mottaghi, and S. Savarese · 2014
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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
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Aligning 3D models to RGB-D images of cluttered scenes
S. Gupta, P. A. Arbeláez, R. B. Girshick, and J. Malik · 2015
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A large dataset of object scans
S. Choi, Q. Zhou, S. Miller, and V. Koltun · 2016
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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
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Bayesian convolutional neural networks with Bernoulli approximate variational inference
Y. Gal and Z. Ghahramani · 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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Synthetic data for text localisation in natural images
A. Gupta, A. Vedaldi, and A. Zisserman · 2016
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Deep residual learning for image recognition
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Hypercolumns for object segmentation and fine-grained localization
B. Hariharan, P. Arbeláez, R. Girshick, and J. Malik · 2015
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Single-view reconstruction via joint analysis of image and shape collections
Q. Huang, H. Wang, and V. Koltun · 2015
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Category-specific object reconstruction from a single image
A. Kar, S. Tulsiani, J. Carreira, and J. Malik · 2015
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A. Kendall, V. Badrinarayanan, and R. Cipolla · 2015
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A coarse-to-fine model for 3d pose estimation and sub-category recognition
R. Mottaghi, Y. Xiang, and S. Savarese · 2015
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Completing 3d object shape from one depth image
J. Rock, T. Gupta, J. Thorsen, J. Gwak, D. Shin, and D. Hoiem · 2015
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Unsupervised generation of a viewpoint annotated car dataset from videos
N. Sedaghat and T. Brox · 2015
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K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Deeper depth prediction with fully convolutional residual networks
I. Laina, C. Rupprecht, V. Belagiannis, F. Tombari, and N. Navab · 2016
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Joint face alignment and 3d face reconstruction
F. Liu, D. Zeng, Q. Zhao, and X. Liu · 2016
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Deep exemplar 2d-3d detection by adapting from real to rendered views
F. Massa, B. C. Russell, and M. Aubry · 2016
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Pointnet: Deep learning on point sets for 3d classification and segmentation
C. R. Qi, H. Su, K. Mo, and L. J. Guibas · 2016
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Structure-from-motion revisited
J. L. Schönberger and J.-M. Frahm · 2016
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Pixelwise view selection for unstructured multi-view stereo
J. L. Schönberger, E. Zheng, M. Pollefeys, and J.-M. Frahm · 2016
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Multi-view 3d models from single images with a convolutional network
M. Tatarchenko, A. Dosovitskiy, and T. Brox · 2016
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Demon: Depth and motion network for learning monocular stereo
B. Ummenhofer, H. Zhou, J. Uhrig, N. Mayer, E. Ilg, A. Dosovitskiy, and T. Brox · 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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