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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20230103T035307Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_261@linklings.com
SUMMARY:MoRig: Motion-Aware Rigging of Character Meshes from Point Clouds
DESCRIPTION:Technical Papers\n\nMoRig: Motion-Aware Rigging of Character M
 eshes from Point Clouds\n\nXu, Zhou, Yi, Kalogerakis\n\nWe present MoRig, 
 a method that automatically rigs character meshes driven by single-view po
 int cloud streams capturing the motion of performing characters. Our metho
 d is also able to animate the 3D meshes according to the captured point cl
 oud motion. At the heart of our approach lies a deep neural network that e
 ncodes motion cues from the point clouds into features that are informativ
 e about the articulated parts of the performing character. These features 
 guide the inference of an appropriate skeletal rig for the input mesh, whi
 ch is then animated based on the input point cloud motion. Our method can 
 rig and animate diverse characters, including humanoids, quadrupeds, and t
 oys with varying articulations. It is designed to account for occluded reg
 ions in the input point cloud sequences and any mismatches in the part pro
 portions between the input mesh and captured character. Compared to other 
 rigging approaches that ignore motion cues, our method produces more accur
 ate skeletal rigs, which are also more appropriate for re-targeting motion
  from captured characters.\n\nRegistration Category: FULL ACCESS, EXPERIEN
 CE PLUS ACCESS, EXPERIENCE ACCESS, TRADE EXHIBITOR\n\nLanguage: ENGLISH\n\
 nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_261&sess=sess15
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