2022
DOI: 10.48550/arxiv.2205.15608
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction

Abstract: Figure 1. Action-driven stochastic human motion prediction. Given a past motion (pink) and a sequence of future action labels, our model generates action-specific future poses (yellow). We show two different futures generated for the same history and actions. Our model allows these predictions to have different lengths. The motions are down-sampled to the same frame rate for visualisation.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 37 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?