March 1, 2024, 5:47 a.m. | Lingchen Yang, Gaspard Zoss, Prashanth Chandran, Markus Gross, Barbara Solenthaler, Eftychios Sifakis, Derek Bradley

cs.CV updates on arXiv.org arxiv.org

arXiv:2402.19477v1 Announce Type: new
Abstract: Physically-based simulation is a powerful approach for 3D facial animation as the resulting deformations are governed by physical constraints, allowing to easily resolve self-collisions, respond to external forces and perform realistic anatomy edits. Today's methods are data-driven, where the actuations for finite elements are inferred from captured skin geometry. Unfortunately, these approaches have not been widely adopted due to the complexity of initializing the material space and learning the deformation model for each character separately, …

abstract animation arxiv constraints cs.cv cs.gr data data-driven face generalized simulation type

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Data Engineer - New Graduate

@ Applied Materials | Milan,ITA

Lead Machine Learning Scientist

@ Biogen | Cambridge, MA, United States