Unsupervised 3D pose transfer with cross consistency and dual reconstruction

The goal of 3D pose transfer is to transfer the pose from the source mesh to the target mesh while preserving the identity information (e.g., face, body shape) of the target mesh. Deep learning-based methods improved the efficiency and performance of 3D pose transfer. However, most of them are train...

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Main Authors: Song, Chaoyue, Wei, Jiacheng, Li, Ruibo, Liu, Fayao, Lin, Guosheng
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2023
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在線閱讀:https://hdl.handle.net/10356/172191
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