MotionMap represents multimodality in human pose forecasting as a heatmap over a learned latent space, enabling sample-efficient, ranked, and controllable prediction of multiple future motions.
Convo- lutional sequence to sequence model for human dy- namics,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
MotionMap: Representing Multimodality in Human Pose Forecasting
MotionMap represents multimodality in human pose forecasting as a heatmap over a learned latent space, enabling sample-efficient, ranked, and controllable prediction of multiple future motions.