Learning Multivariate Empirical Mode Decomposition for Spectral Motion Editing
SessionFlesh & Bones
DescriptionThis research proposes an architecture for neural networks to learn multivariate empirical mode decomposition. Editing the decomposed non-linear frequency components achieves novel tasks for character animation synthesis.
Event Type
Technical Communications
Technical Papers
TimeThursday, 14 December 20235:08pm - 5:16pm
LocationMeeting Room C4.8, Level 4 (Convention Centre)
