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DTSTAMP:20260817T171516Z
LOCATION:Hall C\, C Block\, Level 4
DTSTART;TZID=Asia/Tokyo:20241203T090000
DTEND;TZID=Asia/Tokyo:20241203T120000
UID:siggraphasia_SIGGRAPH Asia 2024_sess223_papers_590@linklings.com
SUMMARY:SKEL-Betweener: a Neural Motion Rig for Interactive Motion Authori
 ng
DESCRIPTION:Dhruv Agrawal (ETH Zürich, DisneyResearch|Studios) and Jakob B
 uhmann, Dominik Borer, Robert W. Sumner, and Martin Guay (DisneyResearch|S
 tudios)\n\nAuthoring 3D motions is a laborious process that requires manip
 ulating and coordinating many control handles over time. Neural motion rep
 resentations learned from large motion datasets have recently shown impres
 sive capabilities in many motion completion tasks. However, current method
 s are not designed for interactive motion authoring workflows. The reasons
  being their requirement of a dense context of full poses, which takes con
 siderable time to author, as well as their lack of joint-level controls fo
 r refinement. In this paper, we introduce a Neural Motion Rig called SKEL-
 Betweener, tailored to interactive motion authoring. SKEL-Betweener is abl
 e to generate long motion sequences from two poses only, and enables inter
 mediate motion authoring via neural motion curves—intuitive joint-level co
 ntrols for positions and orientations. Through user evaluations, we demons
 trate the effectiveness of our Neural Motion Rig for efficiently creating 
 and editing motions.\n\nRegistration Category: Enhanced Access, Full Acces
 s, Full Access Supporter\n\nLanguage Format: English Language\n\n
URL:https://asia.siggraph.org/2024/program/?id=papers_590&sess=sess135
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