Generative model‐enhanced human motion prediction

The task of predicting human motion is complicated by the natural heterogeneity and compositionality of actions, necessitating robustness to distributional shifts as far as out‐of‐distribution (OoD). Here, we formulate a new OoD benchmark based on the Human3.6M and Carnegie Mellon University (CMU) m...

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Detalles Bibliográficos
Autores principales: Bourached, Anthony, Griffiths, Ryan‐Rhys, Gray, Robert, Jha, Ashwani, Nachev, Parashkev
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2022
Materias:
Letters
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159682/
https://www.ncbi.nlm.nih.gov/pubmed/35669063
http://dx.doi.org/10.1002/ail2.63

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9159682/
https://www.ncbi.nlm.nih.gov/pubmed/35669063
http://dx.doi.org/10.1002/ail2.63

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