BEGIN:VCALENDAR VERSION:2.0 PRODID:Linklings LLC BEGIN:VTIMEZONE TZID:Asia/Seoul X-LIC-LOCATION:Asia/Seoul BEGIN:STANDARD TZOFFSETFROM:+0900 TZOFFSETTO:+0900 TZNAME:KST DTSTART:18871231T000000 DTSTART:19881009T020000 END:STANDARD END:VTIMEZONE 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 3 END:VEVENT END:VCALENDAR