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Rendering bridges the gap between 2D vision and 3D scenes by simulating the physical process of image formation.
A morphable model for the synthesis of 3d faces
V. Blanz and T. Vetter · 1999
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Shape-from-shading: a survey
R. Zhang, P.-S. Tsai, J. E. Cryer, and M. Shah · 1999
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Image-based visual hulls
W. Matusik, C. Buehler, R. Raskar, S. J. Gortler, and L. McMillan · 2000
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Active appearance models
T. F. Cootes, G. J. Edwards, and C. J. Taylor · 2001
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Face recognition based on fitting a 3d morphable model
V. Blanz and T. Vetter · 2003
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Multiple view geometry in computer vision
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Image-based reconstruction of spatial appearance and geometric detail
H. Lensch, J. Kautz, M. Goesele, W. Heidrich, and H.-P. Seidel · 2003
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Accurate, dense, and robust multiview stereopsis
Y. Furukawa and J. Ponce · 2010
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Inverse volume rendering with material dictionaries
I. Gkioulekas, S. Zhao, K. Bala, T. Zickler, and A. Levin · 2013
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Approximate bayesian image interpretation using generative probabilistic graphics programs
V. K. Mansinghka, T. D. Kulkarni, Y. N. Perov, and J. Tenenbaum · 2013
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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Opendr: An approximate differentiable renderer
M. M. Loper and M. J. Black · 2014
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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, et al · 2015
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Posenet: A convolutional network for real-time 6-dof camera relocalization
A. Kendall, M. Grimes, and R. Cipolla · 2015
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Smpl: A skinned multi-person linear model
M. Loper, N. Mahmood, J. Romero, G. Pons-Moll, and M. J. Black · 2015
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Viewpoints and keypoints
S. Tulsiani and J. Malik · 2015
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Designing deep networks for surface normal estimation
X. Wang, D. Fouhey, and A. Gupta · 2015
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Keep it smpl: Automatic estimation of 3d human pose and shape from a single image
F. Bogo, A. Kanazawa, C. Lassner, P. Gehler, J. Romero, and M. J. Black · 2016
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An evaluation of computational imaging techniques for heterogeneous inverse scattering
I. Gkioulekas, A. Levin, and T. Zickler · 2016
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Learning depth from single monocular images using deep convolutional neural fields
F. Liu, C. Shen, G. Lin, and I. D. Reid · 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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Pose-aware face recognition in the wild
I. Masi, S. Rawls, G. Medioni, and P. Natarajan · 2016
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Unsupervised learning of 3d structure from images
D. J. Rezende, S. A. Eslami, S. Mohamed, P. Battaglia, M. Jaderberg, and N. Heess · 2016
Unsupervised training for 3d morphable model regression
K. Genova, F. Cole, A. Maschinot, A. Sarna, D. Vlasic, and W. T. Freeman · 2018
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Atlasnet: A papier-mâché approach to learning 3d surface generation
T. Groueix, M. Fisher, V. G. Kim, B. C. Russell, and M. Aubry · 2018
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Learning to generate and reconstruct 3d meshes with only 2d supervision
P. Henderson and V. Ferrari · 2018
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Deep volumetric video from very sparse multi-view performance capture
Z. Huang, T. Li, W. Chen, Y. Zhao, J. Xing, C. LeGendre, L. Luo, C. Ma, and H. Li · 2018
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Mesoscopic facial geometry inference using deep neural networks
L. Huynh, W. Chen, S. Saito, J. Xing, K. Nagano, A. Jones, P. Debevec, and H. Li · 2018
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End-to-end recovery of human shape and pose
A. Kanazawa, M. J. Black, D. W. Jacobs, and J. Malik · 2018
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Cited alongside, same era.
Convolutional pose machines
S.-E. Wei, V. Ramakrishna, T. Kanade, and Y. Sheikh · 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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Real-time height map fusion using differentiable rendering
J. Zienkiewicz, A. Davison, and S. Leutenegger · 2016
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Material editing using a physically based rendering network
G. Liu, D. Ceylan, E. Yumer, J. Yang, and J.-M. Lien · 2017
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Deep shading: convolutional neural networks for screen space shading
O. Nalbach, E. Arabadzhiyska, D. Mehta, H.-P. Seidel, and T. Ritschel · 2017
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Coarse-to-fine volumetric prediction for single-image 3d human pose
G. Pavlakos, X. Zhou, K. G. Derpanis, and K. Daniilidis · 2017
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Learning category-specific mesh reconstruction from image collections
A. Kanazawa, S. Tulsiani, A. A. Efros, and J. Malik · 2018
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Neural 3d mesh renderer
H. Kato, Y. Ushiku, and T. Harada · 2018
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3d-rcnn: Instance-level 3d object reconstruction via render-and-compare
A. Kundu, Y. Li, and J. M. Rehg · 2018
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Differentiable monte carlo ray tracing through edge sampling
T.-M. Li, M. Aittala, F. Durand, and J. Lehtinen · 2018
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Rendernet: A deep convolutional network for differentiable rendering from 3d shapes
T. Nguyen-Phuoc, C. Li, S. Balaban, and Y. Yang · 2018
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Geonet: Geometric neural network for joint depth and surface normal estimation
X. Qi, R. Liao, Z. Liu, R. Urtasun, and J. Jia · 2018
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Self-supervised multi-level face model learning for monocular reconstruction at over 250 hz
A. Tewari, M. Zollhöfer, P. Garrido, F. Bernard, H. Kim, P. Pérez, and C. Theobalt · 2018
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Nonlinear 3d face morphable model
L. Tran and X. Liu · 2018
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Pixel2mesh: Generating 3d mesh models from single rgb images
N. Wang, Y. Zhang, Z. Li, Y. Fu, W. Liu, and Y.-G. Jiang · 2018
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Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes
Y. Xiang, T. Schmidt, V. Narayanan, and D. Fox · 2018
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