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Daniel Cremers | Christian Theobalt | Ayush Tewari | Florian Bernard | Hans-Peter Seidel | Mohamed Elgharib | Mohamed A. Elgharib | Tarun Yenamandra | H. Seidel | C. Theobalt | D. Cremers | Florian Bernard | Tarun Yenamandra | A. Tewari
[1] M. Zollhöfer,et al. PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations , 2020, ECCV.
[2] Andreas Geiger,et al. Texture Fields: Learning Texture Representations in Function Space , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[3] Johan Thunberg,et al. Transitively Consistent and Unbiased Multi-Image Registration Using Numerically Stable Transformation Synchronisation , 2015 .
[4] Yiying Tong,et al. FaceWarehouse: A 3D Facial Expression Database for Visual Computing , 2014, IEEE Transactions on Visualization and Computer Graphics.
[5] Olivier D. Faugeras,et al. Statistical shape influence in geodesic active contours , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[6] Stefanos Zafeiriou,et al. Towards a Complete 3D Morphable Model of the Human Head , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Michael J. Black,et al. Learning a model of facial shape and expression from 4D scans , 2017, ACM Trans. Graph..
[8] Hao Li,et al. paGAN: real-time avatars using dynamic textures , 2019, ACM Trans. Graph..
[9] Adrian Hilton,et al. A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modeling , 2011, 2011 International Conference on Computer Vision.
[10] Paul Debevec,et al. The Digital Emily project: photoreal facial modeling and animation , 2009, SIGGRAPH '09.
[11] William Smith,et al. A 3D Morphable Model of Craniofacial Shape and Texture Variation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[12] Matthew Turk,et al. A Morphable Model For The Synthesis Of 3D Faces , 1999, SIGGRAPH.
[13] Pratul P. Srinivasan,et al. NeRF , 2020, ECCV.
[14] Jaakko Lehtinen,et al. Differentiable Monte Carlo ray tracing through edge sampling , 2018, ACM Trans. Graph..
[15] Daniel Cremers,et al. 4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences , 2006, MICCAI.
[16] BeelerThabo,et al. 3D Morphable Face Models—Past, Present, and Future , 2020 .
[17] Bernt Schiele,et al. A Hybrid Model for Identity Obfuscation by Face Replacement , 2018, ECCV.
[18] Sebastian Nowozin,et al. Occupancy Networks: Learning 3D Reconstruction in Function Space , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.
[20] Davis E. King,et al. Dlib-ml: A Machine Learning Toolkit , 2009, J. Mach. Learn. Res..
[21] Xavier Bresson,et al. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering , 2016, NIPS.
[22] Hans-Peter Seidel,et al. FML: Face Model Learning From Videos , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Hao Li,et al. 3D hair synthesis using volumetric variational autoencoders , 2018, ACM Trans. Graph..
[24] Ron Kimmel,et al. Unrestricted Facial Geometry Reconstruction Using Image-to-Image Translation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[25] Jonathan T. Barron,et al. Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains , 2020, NeurIPS.
[26] Feng Liu,et al. Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence , 2020, NeurIPS.
[27] Sami Romdhani,et al. A 3D Face Model for Pose and Illumination Invariant Face Recognition , 2009, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance.
[28] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[29] Andrea Tagliasacchi,et al. CvxNet: Learnable Convex Decomposition , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Justus Thies,et al. InverseFaceNet: Deep Single-Shot Inverse Face Rendering From A Single Image , 2017, ArXiv.
[31] Hao Zhang,et al. Learning Implicit Fields for Generative Shape Modeling , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[32] Hanbyul Joo,et al. PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Stefanos Zafeiriou,et al. Combining 3D Morphable Models: A Large Scale Face-And-Head Model , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Tao Yu,et al. Deep Implicit Templates for 3D Shape Representation , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Michael J. Black,et al. Generating 3D faces using Convolutional Mesh Autoencoders , 2018, ECCV.
[36] Daniel Cremers,et al. Dynamical statistical shape priors for level set-based tracking , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[37] Matan Sela,et al. Learning Detailed Face Reconstruction from a Single Image , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[38] Stefanos Zafeiriou,et al. Large Scale 3D Morphable Models , 2017, International Journal of Computer Vision.
[39] Bernhard Egger,et al. Morphable Face Models - An Open Framework , 2017, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).
[40] Richard A. Newcombe,et al. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Thomas Funkhouser,et al. Local Deep Implicit Functions for 3D Shape , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Edmond Boyer,et al. Multilinear Autoencoder for 3D Face Model Learning , 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).
[43] Daniel Cremers,et al. CopyMe3D: Scanning and Printing Persons in 3D , 2013, GCPR.
[44] Gordon Wetzstein,et al. Implicit Neural Representations with Periodic Activation Functions , 2020, NeurIPS.
[45] Stefanos Zafeiriou,et al. A 3D Morphable Model Learnt from 10,000 Faces , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Nick Pears,et al. Statistical Modeling of Craniofacial Shape and Texture , 2019, International Journal of Computer Vision.
[47] Hao Li,et al. PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[48] Andreas Geiger,et al. Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[49] Thabo Beeler,et al. 3D Morphable Face Models—Past, Present, and Future , 2020, ACM Trans. Graph..
[50] Patrick Pérez,et al. MoFA: Model-Based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[51] Johan Thunberg,et al. A solution for multi-alignment by transformation synchronisation , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Xin Tong,et al. Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[53] Christian Theobalt,et al. PIE , 2020, ACM Trans. Graph..