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3D reconstruction from 2D images is a central problem in computer vision.
Parametric correspondence and chamfer matching: Two new techniques for image matching
H. G. Barrow, J. M. Tenenbaum, R. C. Bolles, and H. C. Wolf · 1977
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Free-form deformation of solid geometric models
T. Sederberg and S. Parry · 1986
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Vision science: Photons to phenomenology
S. Palmer · 1999
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Optimal step nonrigid ICP algorithms for surface registration
B. Amberg, S. Romdhani, and T. Vetter · 2007
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Distributed optimization and statistical learning via the alternating direction method of multipliers
S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein · 2011
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Free form deformations or deformations non-constrained by geometries or topologies
R. Romain · 2013
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Reconstructing PASCAL VOC
S. Vicente, J. Carreira, L. Agapito, and J. Batista · 2014
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Robust estimation of 3D human poses from a single image
C. Wang, Y. Wang, Z. Lin, A. L. Yuille, and W. Gao · 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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Lifting object detection datasets into 3D
J. Carreira, S. Vicente, L. Agapito, and J. Batista · 2015
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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
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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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Towards probabilistic volumetric reconstruction using ray potential
A. O. Ulusoy, A. Geiger, and M. J. Black · 2015
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3D shape estimation from 2D landmarks: A convex relaxation approach
X. Zhou, S. Leonardos, X. Hu, and K. Daniilidis · 2015
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Marr Revisited: 2D-3D model alignment via surface normal prediction
A. Bansal, B. Russell, and A. Gupta · 2016
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Multi-label semantic 3D reconstruction using voxel blocks
Structure from category: A generic and prior-less approach
C. Kong, R. Zhu, H. Kiani, and S. Lucey · 2016
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VConv-DAE: Deep volumetric shape learning without object labels
A. Sharma, O. Grau, and M. Fritz · 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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Perspective transformer nets: Learning single-view 3D object reconstruction without 3D supervision
X. Yan, J. Yang, E. Yumer, Y. Guo, and H. Lee · 2016
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Sparseness meets deepness: 3D human pose estimation from monocular video
X. Zhou, M. Zhu, S. Leonardos, K. G. Derpanis, and K. Daniilidis · 2016
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Hierarchical surface prediction for 3D object reconstruction
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I. Cherabier, C. Häne, M. R. Oswald, and M. Pollefeys · 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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Single view 3D reconstruction under an uncalibrated camera and an unknown mirror sphere
K. Han, K. Y. K. Wong, and X. Tan · 2016
Cited alongside, same era.
Unsupervised learning of 3D structure from images
D. Jimenez Rezende, S. M. A. Eslami, S. Mohamed, P. Battaglia, M. Jaderberg, and N. Heess · 2016
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Prior-less compressible structure from motion
C. Kong and S. Lucey · 2016
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C. Häne, S. Tulsiani, and J. Malik · 2017
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Using locally corresponding CAD models for dense 3D reconstructions from a single image
C. Kong, C.-H. Lin, , and S. Lucey · 2017
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OctNet: Learning deep 3D representations at high resolutions
G. Riegler, A. O. Ulusoy, and A. Geiger · 2017
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Octree generating networks: Efficient convolutional architectures for high-resolution 3D outputs
M. Tatarchenko, A. Dosovitskiy, and T. Brox · 2017
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