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BEGIN:VEVENT
DTSTAMP:20260417T190156Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250813T141000
DTEND;TZID=America/Los_Angeles:20250813T142000
UID:siggraph_SIGGRAPH 2025_sess154_papers_1237@linklings.com
SUMMARY:One Model to Rig Them All: Diverse Skeleton Rigging with UniRig
DESCRIPTION:Jia-Peng Zhang, Cheng-Feng Pu, and Meng-Hao Guo (CS Dept, Tsin
 ghua University); Yan-Pei Cao (VAST); and Shi-Min Hu (CS Dept, Tsinghua Un
 iversity)\n\nManual 3D rigging is slow. UniRig introduces a unified learni
 ng framework for automatic skeletal rigging. Trained on our large, diverse
  Rig-XL dataset, it uses an autoregressive model and cross-attention to ac
 curately rig various characters and objects, significantly outperforming p
 rior methods and speeding up animation pipelines.\n\nInterest Area: Resear
 ch & Education\n\nRecording: Livestreamed, Not Livestreamed, Recorded, Not
  Recorded\n\nRegistration Category: Full Conference, Virtual Access, Wedne
 sday\n\n
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