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MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction., , , , , , and . CoRR, (2017)Text-based editing of talking-head video., , , , , , , , , and . ACM Trans. Graph., 38 (4): 68:1-68:14 (2019)3D Morphable Face Models - Past, Present and Future., , , , , , , , , and 3 other author(s). CoRR, (2019)Self-Supervised Multi-Level Face Model Learning for Monocular Reconstruction at Over 250 Hz., , , , , , and . CVPR, page 2549-2559. IEEE Computer Society, (2018)3D Morphable Face Models - Past, Present, and Future., , , , , , , , , and 3 other author(s). ACM Trans. Graph., 39 (5): 157:1-157:38 (2020)FML: Face Model Learning from Videos., , , , , , , , and . CoRR, (2018)Deep video portraits., , , , , , , , , and . ACM Trans. Graph., 37 (4): 163:1-163:14 (2018)InverseFaceNet: Deep Monocular Inverse Face Rendering., , , , , and . CVPR, page 4625-4634. IEEE Computer Society, (2018)EgoFace: Egocentric Face Performance Capture and Videorealistic Reenactment., , , , , , and . CoRR, (2019)FML: Face Model Learning From Videos., , , , , , , , and . CVPR, page 10812-10822. Computer Vision Foundation / IEEE, (2019)