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We present the first deep implicit 3D morphable model (i3DMM) of full heads.
A morphable model for the synthesis of 3d faces
Volker Blanz and Thomas Vetter · 1999
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A morphable model for the synthesis of 3d faces
Volker Blanz and Thomas Vetter · 1999
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Statistical shape influence in geodesic active contours
M. Leventon, W. Grimson, and O. Faugeras · 2000
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Dynamical statistical shape priors for level set based tracking
D. Cremers · 2006
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4d shape priors for level set segmentation of the left myocardium in SPECT sequences
T. Kohlberger, D. Cremers, M. Rousson, and R. Ramaraj · 2006
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The Digital Emily Project: photoreal facial modeling and animation
Oleg Alexander, Mike Rogers, William Lambeth, Matt Chiang, and Paul Debevec · 2009
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Dlib-ml: A machine learning toolkit
Davis E. King · 2009
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A 3d face model for pose and illumination invariant face recognition
P. Paysan, R. Knothe, B. Amberg, S. Romdhani, and T. Vetter · 2009
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A facs valid 3d dynamic action unit database with applications to 3d dynamic morphable facial modeling
D. Cosker, E. Krumhuber, and A. Hilton · 2011
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CopyMe3D: Scanning and printing persons in 3D
J. Sturm, E. Bylow, F. Kahl, and D. Cremers · 2013
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Facewarehouse: A 3D facial expression database for visual computing
Chen Cao, Yanlin Weng, Shun Zhou, Yiying Tong, and Kun Zhou · 2014
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Facewarehouse: A 3d facial expression database for visual computing
C. Cao, Y. Weng, S. Zhou, Y. Tong, and K. Zhou · 2014
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A solution for multi-alignment by transformation synchronisation
Florian Bernard, Johan Thunberg, Peter Gemmar, Frank Hertel, Andreas Husch, and Jorge Goncalves · 2015
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Transitively consistent and unbiased multi-image registration using numerically stable transformation synchronisation
Florian Bernard, Johan Thunberg, Andreas Husch, Luis Salamanca, Peter Gemmar, Frank Hertel, and Jorge Goncalves · 2015
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A 3d morphable model learnt from 10,000 faces
James Booth, Anastasios Roussos, Stefanos Zafeiriou, Allan Ponniah, and David Dunaway · 2016
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A 3d morphable model learnt from 10,000 faces
J. Booth, A. Roussos, S. Zafeiriou, A. Ponniahy, and D. Dunaway · 2016
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Convolutional neural networks on graphs with fast localized spectral filtering
Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016
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Face2Face: Real-time face capture and reenactment of RGB videos
Justus Thies, Michael Zollhöfer, Marc Stamminger, Christian Theobalt, and Matthias Nießner · 2016
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A 3d morphable model of craniofacial shape and texture variation
H. Dai, N. Pears, W. Smith, and C. Duncan · 2017
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Morphable face models - an open framework
Thomas Gerig, Andreas Forster, Clemens Blumer, Bernhard Egger, Marcel Lüthi, Sandro Schönborn, and Thomas Vetter · 2017
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Adam: A method for stochastic optimization, 2017
Diederik P. Kingma and Jimmy Ba · 2017
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Learning a model of facial shape and expression from 4d scans
Tianye Li, Timo Bolkart, Michael J. Black, Hao Li, and Javier Romero · 2017
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Learning a model of facial shape and expression from 4D scans
Tianye Li, Timo Bolkart, Michael. J. Black, Hao Li, and Javier Romero · 2017
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Learning detailed face reconstruction from a single image
Elad Richardson, Matan Sela, Roy Or-El, and Ron Kimmel · 2017
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Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation
Matan Sela, Elad Richardson, and Ron Kimmel · 2017
3d morphable face models – past, present and future, 2019
Bernhard Egger, William A. P. Smith, Ayush Tewari, Stefanie Wuhrer, Michael Zollhoefer, Thabo Beeler, Florian Bernard, Timo Bolkart, Adam Kortylewski, Sami Romdhani, Christian Theobalt, Volker Blanz, and Thomas Vetter · 2019
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Occupancy networks: Learning 3d reconstruction in function space
Lars Mescheder, Michael Oechsle, Michael Niemeyer, Sebastian Nowozin, and Andreas Geiger · 2019
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Occupancy flow: 4d reconstruction by learning particle dynamics
Michael Niemeyer, Lars Mescheder, Michael Oechsle, and Andreas Geiger · 2019
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Texture fields: Learning texture representations in function space
Michael Oechsle, Lars Mescheder, Michael Niemeyer, Thilo Strauss, and Andreas Geiger · 2019
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Deepsdf: Learning continuous signed distance functions for shape representation
Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, and Steven Lovegrove · 2019
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MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction
Ayush Tewari, Michael Zollhöfer, Hyeongwoo Kim, Pablo Garrido, Florian Bernard, Patrick Perez, and Theobalt Christian · 2017
Cited alongside, same era.
Large scale 3d morphable models
James Booth, Anastasios Roussos, Allan Ponniah, David Dunaway, and Stefanos Zafeiriou · 2018
Cited alongside, same era.
Multilinear autoencoder for 3d face model learning
V. Fernández Abrevaya, S. Wuhrer, and E. Boyer · 2018
Cited alongside, same era.
InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image
Hyeongwoo Kim, Michael Zollhöfer, Ayush Tewari, Justus Thies, Christian Richardt, and Christian Theobalt · 2018
Cited alongside, same era.
Differentiable monte carlo ray tracing through edge sampling
Tzu-Mao Li, Miika Aittala, Frédo Durand, and Jaakko Lehtinen · 2018
Cited alongside, same era.
pagan: real-time avatars using dynamic textures
Koki Nagano, Jaewoo Seo, Jun Xing, Lingyu Wei, Zimo Li, Shunsuke Saito, Aviral Agarwal, Jens Fursund, Hao Li, Richard Roberts, et al · 2018
Cited alongside, same era.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 2019
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Towards a complete 3d morphable model of the human head
Stylianos Ploumpis, Evangelos Ververas, Eimear O’ Sullivan, Stylianos Moschoglou, Haoyang Wang, Nick Pears, William AP Smith, Baris Gecer, and Stefanos Zafeiriou · 2019
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Combining 3d morphable models: A large scale face-and-head model
Stylianos Ploumpis, Haoyang Wang, Nick Pears, William A. P. Smith, and Stefanos Zafeiriou · 2019
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Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization
Shunsuke Saito, Zeng Huang, Ryota Natsume, Shigeo Morishima, Angjoo Kanazawa, and Hao Li · 2019
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Fml: Face model learning from videos
Ayush Tewari, Florian Bernard, Pablo Garrido, Gaurav Bharaj, Mohamed Elgharib, Hans-Peter Seidel, Patrick Pérez, Michael Zollhofer, and Christian Theobalt · 2019
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Cvxnet: Learnable convex decomposition
Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey Hinton, and Andrea Tagliasacchi · 2020
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Local deep implicit functions for 3d shape
Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, and Thomas Funkhouser · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, Jonathan T. Barron, Ravi Ramamoorthi, and Ren Ng · 2020
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Pifuhd: Multi-level pixel-aligned implicit function for high-resolution 3d human digitization
Shunsuke Saito, Tomas Simon, Jason Saragih, and Hanbyul Joo · 2020
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Implicit neural representations with periodic activation functions
Vincent Sitzmann, Julien N.P. Martel, Alexander W. Bergman, David B. Lindell, and Gordon Wetzstein · 2020
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Fourier features let networks learn high frequency functions in low dimensional domains
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, and Ren Ng · 2020
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Pie: Portrait image embedding for semantic control
Ayush Tewari, Mohamed Elgharib, Mallikarjun BR, Florian Bernard, Hans-Peter Seidel, Patrick Pérez, Michael Zöllhofer, and Christian Theobalt · 2020
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PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations
Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Carsten Stoll, and Christian Theobalt · 2020
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