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Depth estimation from monocular images is a challenging problem in computer vision.
Depth estimation and image restoration using defocused stereo pairs
A. Rajagopalan, S. Chaudhuri, and U. Mudenagudi · 2004
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Make3d: Learning 3d scene structure from a single still image
A. Saxena, M. Sun, and A. Y. Ng · 2008
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Single image depth estimation from predicted semantic labels
B. Liu, S. Gould, and D. Koller · 2010
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Indoor segmentation and support inference from rgbd images
N. Silberman, D. Hoiem, P. Kohli, and R. Fergus · 2012
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Vision meets robotics: The kitti dataset
A. Geiger, P. Lenz, C. Stiller, and R. Urtasun · 2013
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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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Depth transfer: Depth extraction from video using non-parametric sampling
K. Karsch, C. Liu, and S. B. Kang · 2014
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Discrete-continuous depth estimation from a single image
M. Liu, M. Salzmann, and X. He · 2014
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Segnet: A deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling
V. Badrinarayanan, A. Handa, and R. Cipolla · 2015
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Towards unified depth and semantic prediction from a single image
P. Wang, X. Shen, Z. Lin, S. Cohen, B. Price, and A. L. Yuille · 2015
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Multi-scale context aggregation by dilated convolutions
F. Yu and V. Koltun · 2015
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Monocular object instance segmentation and depth ordering with cnns
Z. Zhang, A. G. Schwing, S. Fidler, and R. Urtasun · 2015
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Unsupervised cnn for single view depth estimation: Geometry to the rescue
R. Garg, V. K. Bg, G. Carneiro, and I. Reid · 2016
Cited alongside, same era.
Deep learning , volume 1
I. Goodfellow, Y. Bengio, A. Courville, and Y. Bengio · 2016
Cited alongside, same era.
Deeper depth prediction with fully convolutional residual networks
I. Laina, C. Rupprecht, V. Belagiannis, F. Tombari, and N. Navab · 2016
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Enet: A deep neural network architecture for real-time semantic segmentation
A. Paszke, A. Chaurasia, S. Kim, and E. Culurciello · 2016
Cited alongside, same era.
Monocular depth estimation using neural regression forest
A. Roy and S. Todorovic · 2016
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Deep3d: Fully automatic 2d-to-3d video conversion with deep convolutional neural networks
High quality monocular depth estimation via transfer learning
I. Alhashim and P. Wonka · 2018
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Encoder-decoder with atrous separable convolution for semantic image segmentation
L.-C. Chen, Y. Zhu, G. Papandreou, F. Schroff, and H. Adam · 2018
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Depth estimation via affinity learned with convolutional spatial propagation network
X. Cheng, P. Wang, and R. Yang · 2018
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Deep ordinal regression network for monocular depth estimation
H. Fu, M. Gong, C. Wang, K. Batmanghelich, and D. Tao · 2018
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Look deeper into depth: Monocular depth estimation with semantic booster and attention-driven loss
J. Jiao, Y. Cao, Y. Song, and R. Lau · 2018
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J. Xie, R. Girshick, and A. Farhadi · 2016
Cited alongside, same era.
Unsupervised monocular depth estimation with left-right consistency
C. Godard, O. Mac Aodha, and G. J. Brostow · 2017
Cited alongside, same era.
Densely connected convolutional networks
G. Huang, Z. Liu, L. Van Der Maaten, and K. Q. Weinberger · 2017
Cited alongside, same era.
Semi-supervised deep learning for monocular depth map prediction
Y. Kuznietsov, J. Stuckler, and B. Leibe · 2017
Cited alongside, same era.
Sparsity invariant cnns
J. Uhrig, N. Schneider, L. Schneider, U. Franke, T. Brox, and A. Geiger · 2017
Cited alongside, same era.
Multi-scale continuous crfs as sequential deep networks for monocular depth estimation
D. Xu, E. Ricci, W. Ouyang, X. Wang, and N. Sebe · 2017
Cited alongside, same era.
Pyramid scene parsing network
H. Zhao, J. Shi, X. Qi, X. Wang, and J. Jia · 2017
Cited alongside, same era.
Monocular depth estimation with hierarchical fusion of dilated cnns and soft-weighted-sum inference
B. Li, Y. Dai, and M. He · 2018
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Unsupervised learning of depth and ego-motion from monocular video using 3d geometric constraints
R. Mahjourian, M. Wicke, and A. Angelova · 2018
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Sparse-to-dense: Depth prediction from sparse depth samples and a single image
F. Mal and S. Karaman · 2018
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Structured attention guided convolutional neural fields for monocular depth estimation
D. Xu, W. Wang, H. Tang, H. Liu, N. Sebe, and E. Ricci · 2018
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Digging into self-supervised monocular depth estimation
C. Godard, O. Mac Aodha, M. Firman, and G. J. Brostow · 2019
Later among the works it cites.
Learning depth from single monocular images using deep convolutional neural fields
F. Liu, C. Shen, G. Lin, and I. Reid · 2039
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