DGPose: Deep Generative Models for Human Body Analysis

DGPose: Deep Generative Models 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 approaches is typically not interpretable, resulting in less flexibility. In this work, we present deep generative models for human body analysis in...

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Bibliografische gegevens
Hoofdauteurs:	de Bem, R, Ghosh, A, Ajanthan, T, Miksik, O, Boukhayma, A, Siddharth, N, Torr, P
Formaat:	Journal article
Gepubliceerd in:	Springer 2020

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