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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20260805T205604Z
LOCATION:Room 408 B
DTSTART;TZID=America/Los_Angeles:20260722T140000
DTEND;TZID=America/Los_Angeles:20260722T141000
UID:siggraph_SIGGRAPH 2026_sess145_papers_881@linklings.com
SUMMARY:BodyReLux: Temporally Consistent Full-Body Video Relighting
DESCRIPTION:Li MA, Mingming He, Xueming Yu, David George, and Ahmet Tasel 
 (Eyeline Labs); Paul Debevec (Eyeline Labs, Netflix); and Julien Philip (E
 yeline Labs)\n\nBodyReLux is a video diffusion framework for relighting fu
 ll-body human performances with photorealistic, temporally consistent resu
 lts. Trained on video relighting pairs captured on large LED Sphere using 
 digital bi-pack technology, it enables precise, dynamic lighting control a
 nd generalizes robustly to in-the-wild videos.\n\nInterest Area: Research 
 & Education\n\nKeyword: Artificial Intelligence/Machine Learning, Generati
 ve AI, Lighting\n\nRegistration Category: Full Conference Supporter, Full 
 Conference\n\nSession Chair: Or Patashnik (Tel Aviv University, Snap Resea
 rch)\n\n
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