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DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250813T154500
DTEND;TZID=America/Los_Angeles:20250813T155500
UID:siggraph_SIGGRAPH 2025_sess156_paperstog_102@linklings.com
SUMMARY:Policy-Space Diffusion for Physics-Based Character Animation
DESCRIPTION:Michele Rocca, Sune Darkner, and Kenny Erleben (University of 
 Copenhagen); Sheldon Andrews (École de Technologie Supérieure (ÉTS)); and 
 Michele Rocca\n\nWe present a new perspective on physics-based character a
 nimation. Assuming policies for similar motions should have similar weight
 s, we introduce regularization during RL training to preserve weight simil
 arity. By modeling the weights’ manifold with a diffusion model, we genera
 te a continuum of policies adapting to novel character morphologies and ta
 sks.\n\nInterest Area: Research & Education\n\nRecording: Livestreamed, No
 t Livestreamed, Recorded, Not Recorded\n\nRegistration Category: Full Conf
 erence, Virtual Access, Wednesday\n\nSession Chair: Yuting Ye (Reality Lab
 s Research, Meta; Meta)\n\n
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