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Learning to Dress 3D People in Generative Clothing
[article]
2020
arXiv
pre-print
Three-dimensional human body models are widely used in the analysis of human pose and motion. Existing models, however, are learned from minimally-clothed 3D scans and thus do not generalize to the complexity of dressed people in common images and videos. Additionally, current models lack the expressive power needed to represent the complex non-linear geometry of pose-dependent clothing shapes. To address this, we learn a generative 3D mesh model of clothed people from 3D scans with varying
arXiv:1907.13615v3
fatcat:qu4bywdhxrerbcjzzayxugbggu