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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20250522T212942Z
LOCATION:Mile High 4
DTSTART;TZID=America/Denver:20240731T110500
DTEND;TZID=America/Denver:20240731T111500
UID:siggraph_SIGGRAPH 2024_sess129_papers_1107@linklings.com
SUMMARY:TEDi: Temporally-Entangled Diffusion for Long-term Motion Synthesi
 s
DESCRIPTION:Zihan Zhang, Richard Liu, and Rana Hanocka (University of Chic
 ago) and Kfir Aberman (Snap)\n\nTEDi introduces a novel approach to long-t
 erm motion synthesis by entangling the denoising diffusion time-axis with 
 the temporal motion time-axis. This is achieved through temporally varying
  denoising, allowing TEDi to generate high-quality, diverse motions auto-r
 egressively. This new mechanism paves the way towards a new framework for 
 long-term motion synthesis.\n\nInterest Area: Research & Education\n\nReco
 rding: Livestreamed, Recorded\n\nKeyword: Animation\n\nRegistration Catego
 ry: Full Conference, Full Conference Supporter, Virtual Access, Exhibitor 
 Full Conference, Wednesday\n\nSession Chair: Libin Liu (Peking University)
 \n\n
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