Modeling Dynamic Clothing for Data-Driven Photorealistic Avatars
SessionDoctoral Consortium
DescriptionThis thesis presents research on building photorealistic avatars of humans wearing complex clothing in a data-driven manner. First, we introduce a separate two-layer representation that allows us to disentangle the dynamics between the pose-driven body part and temporally-dependent clothing part. Second, we further combine physics-based cloth simulation with a physics-inspired neural rendering model to generate rich and natural dynamics and appearance even for challenging clothing such as a skirt and a dress. Last, we go beyond pose-driven animation and incorporate online sensor input into the avatars to achieve more faithful telepresence of clothing.
Event Type
Doctoral Consortium
TimeFriday, 15 December 20231:00pm - 1:30pm
LocationMeeting Room C4.3, Level 4 (Convention Centre)
