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We introduce a method for learning to generate the surface of 3D shapes.
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Geometry images
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ShapeNet: An Information-Rich 3D Model Repository
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Marr revisited: 2d-3d alignment via surface normal prediction
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K. He, X. Zhang, S. Ren, and J. Sun · 2016
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PointNet++: Deep hierarchical feature learning on point sets in a metric space
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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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Deep learning 3d shape surfaces using geometry images
A. Sinha, J. Bai, and K. Ramani · 2016
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Learning shape abstractions by assembling volumetric primitives
S. Tulsiani, H. Su, L. J. Guibas, A. A. Efros, and J. Malik · 2016
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A point set generation network for 3D object reconstruction from a single image
H. Fan, H. Su, and L. Guibas · 2017
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High-resolution shape completion using deep neural networks for global structure and local geometry inference
X. Han, Z. Li, H. Huang, E. Kalogerakis, and Y. Yu · 2017
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Supplementary material (appendix) for the paper
Cited in the paper.
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
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OctNetFusion: Learning depth fusion from data
G. Riegler, A. O. Ulusoy, H. Bischof, and A. Geiger · 2017
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Surfnet: Generating 3d shape surfaces using deep residual networks
A. Sinha, A. Unmesh, Q. Huang, and K. Ramani · 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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O-cnn: Octree-based convolutional neural networks for 3d shape analysis
P.-S. Wang, Y. Liu, Y.-X. Guo, C.-Y. Sun, and X. Tong · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. Efros · 2017
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