Deepphase: Periodic autoencoders for learning motion phase manifolds
Learning the spatial-temporal structure of body movements is a fundamental problem for
character motion synthesis. In this work, we propose a novel neural network architecture …
character motion synthesis. In this work, we propose a novel neural network architecture …
DeepPhase: periodic autoencoders for learning motion phase manifolds
S Starke, I Mason, T Komura - history.siggraph.org
Learning the spatial-temporal structure of body movements is a fundamental problem for
character motion synthesis. In this work, we propose a novel neural network architecture …
character motion synthesis. In this work, we propose a novel neural network architecture …
[引用][C] DeepPhase: periodic autoencoders for learning motion phase manifolds
S Starke, M Mason, T Komura - ACM Transactions on Graphics, 2022 - hub.hku.hk
HKU Scholars Hub: DeepPhase: periodic autoencoders for learning motion phase
manifolds Skip navigation HKU Login Guest Login Home Publications Researchers Staff …
manifolds Skip navigation HKU Login Guest Login Home Publications Researchers Staff …