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BEGIN:VEVENT
DTSTAMP:20260417T190157Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250813T105500
DTEND;TZID=America/Los_Angeles:20250813T110500
UID:siggraph_SIGGRAPH 2025_sess153_papers_1216@linklings.com
SUMMARY:Tiny is not small enough: High quality, low-resource facial animat
 ion models through hybrid knowledge distillation
DESCRIPTION:Zhen Han, Mattias Teye, Derek Yadgaroff, and Judith Bütepage (
 Electronic Arts)\n\nThe goal of this work is to train lip sync animation m
 odels that can run in real-time and on-device. We design a two-stage knowl
 edge distillation framework to distill large, high-quality models. Our res
 ults show that we can train small models with low latency and a comparativ
 ely small loss in quality.\n\nInterest Area: Research & Education\n\nRecor
 ding: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRegistrati
 on Category: Full Conference, Virtual Access, Wednesday\n\nSession Chair: 
 Bernd Bickel (ETH Zürich, Google)\n\n
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