Generalizing Human Motion Style Transfer Method Based on Metadata-independent Learning
SessionPosters Gallery
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
TimeTuesday, 3 December 20248:00am - 6:00pm JST
LocationLobby Gallery (1) & (2), G Block, Level B1
TE
EH
