Neighborhood Geometric Structure-Preserving Variational Autoencoder for Smooth and Bounded Data Sources

Many data sources, such as human poses, lie on low-dimensional manifolds that are smooth and bounded. Learning low-dimensional representations for such data is an important problem. One typical solution is to utilize encoder-decoder networks. However, due to the lack of effective regularization in l...

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