Facial Animation with Disentangled Identity and Motion using Transformers
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DOI: 10.1111/cgf.14641
Abstract: We propose a 3D+time framework for modeling dynamic sequences of 3D facial shapes, representing realistic non‐rigid motion during a performance. Our work extends neural 3D morphable models by learning a motion manifold using a transformer… read more here.
Keywords: disentangled identity; animation disentangled; motion; facial animation ... See more keywords