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Neural Pose Transfer by Spatially Adaptive Instance Normalization
[article]
2020
arXiv
pre-print
Pose transfer has been studied for decades, in which the pose of a source mesh is applied to a target mesh. Particularly in this paper, we are interested in transferring the pose of source human mesh to deform the target human mesh, while the source and target meshes may have different identity information. Traditional studies assume that the paired source and target meshes are existed with the point-wise correspondences of user annotated landmarks/mesh points, which requires heavy labelling
arXiv:2003.07254v2
fatcat:36vmb3kzvfbu5kzozunjwlwduu