Landmark Guided 4D Facial Expression Generation
SessionPosters Gallery
DescriptionIn this paper, we proposed a generative model that learns to synthesize 4D face expression with given landmarks. It is robust to the change of different identities.
Event Type
Poster
TimeThursday, 14 December 202310:00am - 5:30pm
LocationExhibition Hall 1, Level 2 (Exhibition Centre)
