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DTSTAMP:20260417T190156Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250811T105500
DTEND;TZID=America/Los_Angeles:20250811T110500
UID:siggraph_SIGGRAPH 2025_sess143_papers_578@linklings.com
SUMMARY:AutoKeyframe: Autoregressive Keyframe Generation for Human Motion 
 Synthesis and Editing
DESCRIPTION:Bowen Zheng and Ke Chen (Zhejiang University; State Key Labora
 tory of CAD&CG, Zhejiang University); Yuxin Yao (University of Cambridge, 
 Department of Engineering); Zijiao Zeng and Xinwei Jiang (Tencent Games Di
 gital Content Technology Center); He Wang (UCL Centre for Artificial Intel
 ligence, Department of Computer Science, University College London); Joan 
 Lasenby (University of Cambridge, Department of Engineering); and Xiaogang
  Jin (Zhejiang University; State Key Laboratory of CAD&CG, Zhejiang Univer
 sity)\n\nWe present AutoKeyframe, a novel framework that simultaneously ac
 cepts dense and sparse control signals for motion generation by generating
  keyframes directly. Our method reduces manual efforts for keyframing whil
 e maintaining precise controllability, using an autoregressive diffusion m
 odel and a new skeleton-based gradient guidance method for flexible spatia
 l constraints.\n\nInterest Area: Research & Education\n\nRecording: Livest
 reamed, Not Livestreamed, Recorded, Not Recorded\n\nRegistration Category:
  Full Conference, Virtual Access, Monday\n\nSession Chair: David Levin (Un
 iversity of Toronto, NVIDIA)\n\n
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