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We present a learnt system for multi-view stereopsis.
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Multiview stereo and silhouette consistency via convex functionals over convex domains
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Dense reconstruction using 3d object shape priors
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C. B. Choy, D. Xu, J. Gwak, K. Chen, and S. Savarese · 2016
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Deepstereo: Learning to predict new views from the world’s imagery
J. Flynn, I. Neulander, J. Philbin, and N. Snavely · 2016
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A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
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A. Dame, V. A. Prisacariu, C. Y. Ren, and I. Reid · 2013
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Joint 3d scene reconstruction and class segmentation
C. Häne, C. Zach, A. Cohen, R. Angst, and M. Pollefeys · 2013
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Dense object reconstruction with semantic priors
S. Yingze Bao, M. Chandraker, Y. Lin, and S. Savarese · 2013
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Learning phrase representations using rnn encoder-decoder for statistical machine translation
K. Cho, B. van Merrienboer, C. Gulcehre, F. Bougares, H. Schwenk, and Y. Bengio · 2014
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Depth map prediction from a single image using a multi-scale deep network
D. Eigen, C. Puhrsch, and R. Fergus · 2014
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Real-time direct dense matching on fisheye images using plane-sweeping stereo
C. Häne, L. Heng, G. H. Lee, A. Sizov, and M. Pollefeys · 2014
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Class specific 3d object shape priors using surface normals
C. Häne, N. Savinov, and M. Pollefeys · 2014
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N. Mayer, E. Ilg, P. Hausser, P. Fischer, D. Cremers, A. Dosovitskiy, and T. Brox · 2016
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Unsupervised learning of 3d structure from images
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Semantic 3d reconstruction with continuous regularization and ray potentials using a visibility consistency constraint
N. Savinov, C. Häne, L. Ladicky, and M. Pollefeys · 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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Multi-view 3d models from single images with a convolutional network
M. Tatarchenko, A. Dosovitskiy, and T. Brox · 2016
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Learning category-specific deformable 3d models for object reconstruction
S. Tulsiani, A. Kar, J. Carreira, and J. Malik · 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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Stereo matching by training a convolutional neural network to compare image patches
J. Zbontar and Y. LeCun · 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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Hierarchical surface prediction for 3d object reconstruction
C. Häne, S. Tulsiani, and J. Malik · 2017
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Learned multi-patch similarity
W. Hartmann, S. Galliani, M. Havlena, K. Schindler, and L. V. Gool · 2017
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End-to-end learning of geometry and context for deep stereo regression
A. Kendall, H. Martirosyan, S. Dasgupta, P. Henry, R. Kennedy, A. Bachrach, and A. Bry · 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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Multi-view supervision for single-view reconstruction via differentiable ray consistency
S. Tulsiani, T. Zhou, A. A. Efros, and J. Malik · 2017
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Unsupervised learning of depth and ego-motion from video
T. Zhou, M. Brown, N. Snavely, and D. G. Lowe · 2017
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