A semi-supervised deep generative model for human body analysis
Deep generative modelling for human body analysis is an emerging problem with many interesting applications. However, the latent space learned by such models is typically not interpretable, resulting in less flexible models. In this work, we adopt a structured semi-supervised approach and present a...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Published: |
Springer, Cham
2019
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