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Dynamic Surface Function Networks for Clothed Human Bodies
[article]
2021
arXiv
pre-print
We present a novel method for temporal coherent reconstruction and tracking of clothed humans. Given a monocular RGB-D sequence, we learn a person-specific body model which is based on a dynamic surface function network. To this end, we explicitly model the surface of the person using a multi-layer perceptron (MLP) which is embedded into the canonical space of the SMPL body model. With classical forward rendering, the represented surface can be rasterized using the topology of a template mesh.
arXiv:2104.03978v2
fatcat:semjaliw6fayfl7d6u3ixa7kqy