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BEGIN:VEVENT
DTSTAMP:20260417T190156Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250813T142000
DTEND;TZID=America/Los_Angeles:20250813T143000
UID:siggraph_SIGGRAPH 2025_sess154_papers_1176@linklings.com
SUMMARY:Anymate: A Dataset and Baselines for Learning 3D Object Rigging
DESCRIPTION:Yufan Deng, Yuhao Zhang, and Chen Geng (Stanford University); 
 Shangzhe Wu (Stanford University, University of Cambridge); and Jiajun Wu 
 (Stanford University)\n\nWe present the Anymate Dataset, a large-scale dat
 aset of 230K 3D assets paired with expert-crafted rigging and skinning inf
 ormation---70 times larger than existing datasets. Using this dataset, we 
 propose a learning-based auto-rigging framework with three sequential modu
 les for joint, connectivity, and skinning weight prediction.\n\nInterest A
 rea: Research & Education\n\nRecording: Livestreamed, Not Livestreamed, Re
 corded, Not Recorded\n\nRegistration Category: Full Conference, Virtual Ac
 cess, Wednesday\n\n
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