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DTSTART;TZID=America/New_York:20231017T133000
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SUMMARY:Fall 2023 GRASP Seminar: Donglai Xiang\, Carnegie Mellon University\, "Modeling Dynamic Clothing for Data-Driven Photorealistic Avatars"
DESCRIPTION:This is a hybrid event with in-person attendance in Levine 512 and virtual attendance on Zoom. \nABSTRACT\nIn this talk\, I will present research on building photorealistic avatars of humans wearing complex clothing in a data-driven manner. Such avatars will be a critical technology to enable future applications such as VR/AR and virtual content creation. Loose-fitting clothing poses a significant challenge for avatar modeling due to its large deformation space. We address the challenge by unifying three components of avatar modeling: model-based statistical prior from pre-captured data\, physics-based prior from simulation\, and real-time measurement from sparse sensor input. 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.
URL:https://seasevents.nmsdev7.com/event/fall-2023-grasp-seminar-donglai-xiang-carnegie-mellon-university-modeling-dynamic-clothing-for-data-driven-photorealistic-avatars/
LOCATION:Levine 512
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
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