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Robust Egocentric Photo-realistic Facial Expression Transfer for Virtual Reality. (arXiv:2104.04794v2 [cs.CV] UPDATED)
July 5, 2022, 1:13 a.m. | Amin Jourabloo, Baris Gecer, Fernando De la Torre, Jason Saragih, Shih-En Wei, Te-Li Wang, Stephen Lombardi, Danielle Belko, Autumn Trimble, Hernan Ba
cs.CV updates on arXiv.org arxiv.org
Social presence, the feeling of being there with a real person, will fuel the
next generation of communication systems driven by digital humans in virtual
reality (VR). The best 3D video-realistic VR avatars that minimize the uncanny
effect rely on person-specific (PS) models. However, these PS models are
time-consuming to build and are typically trained with limited data
variability, which results in poor generalization and robustness. Major sources
of variability that affects the accuracy of facial expression transfer
algorithms include …
More from arxiv.org / cs.CV updates on arXiv.org
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