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BEGIN:VEVENT
DTSTAMP:20260417T190157Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250813T140000
DTEND;TZID=America/Los_Angeles:20250813T141000
UID:siggraph_SIGGRAPH 2025_sess154_papers_181@linklings.com
SUMMARY:RigAnything: Template-Free Autoregressive Rigging for Diverse 3D A
 ssets
DESCRIPTION:Isabella Liu (University of California San Diego); Zhan Xu, Yi
 fan Wang, and Hao Tan (Adobe Research); Zexiang Xu (Hillbot Inc.); Xiaolon
 g Wang (University of California San Diego); Hao Su (University of Califor
 nia San Diego, Hillbot Inc.); and Zifan Shi (Adobe Research)\n\nRigAnythin
 g is a transformer-based model that autoregressively generates 3D rigging 
 without templates. It sequentially predicts joints and skeleton topology w
 hile assigning skinning weights, working on objects in any pose. It’s 20× 
 faster than existing methods, completing rigging in under 2 seconds with s
 tate-of-the-art quality across diverse object types.\n\nInterest Area: Res
 earch & Education\n\nRecording: Livestreamed, Not Livestreamed, Recorded, 
 Not Recorded\n\nRegistration Category: Full Conference, Virtual Access, We
 dnesday\n\n
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