Generalizing Human Motion Style Transfer Method Based on Metadata-independent Learning
SessionPosters Presentation
DescriptionThis study aims to extend the applicability of motion style transfer methods to be robust for diverse and complex motions akin to those found in real-world data.
Event Type
Poster
TimeThursday, 5 December 20241:00pm - 2:00pm JST
LocationLobby Gallery (1) & (2), G Block, Level B1
TE
EH
