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DTSTAMP:20260417T190157Z
LOCATION:West Building\, Rooms 118-120
DTSTART;TZID=America/Los_Angeles:20250811T092000
DTEND;TZID=America/Los_Angeles:20250811T093000
UID:siggraph_SIGGRAPH 2025_sess148_papers_362@linklings.com
SUMMARY:Nested Attention: Semantic-aware Attention Values for Concept Pers
 onalization
DESCRIPTION:Or Patashnik (Tel Aviv University, Snap); Rinon Gal (Tel Aviv 
 University); Daniil Ostashev, Sergey Tulyakov, and Kfir Aberman (Snap); an
 d Daniel Cohen-Or (Tel Aviv University, Snap)\n\nThis paper introduces Nes
 ted Attention, a mechanism that improves text-to-image personalization by 
 injecting query-dependent subject features into cross-attention layers, ac
 hieving strong identity preservation and prompt alignment. The method main
 tains the model’s prior, enabling multi-subject generation across diverse 
 domains.\n\nInterest Area: Research & Education\n\nRecording: Livestreamed
 , Not Livestreamed, Recorded, Not Recorded\n\nRegistration Category: Full 
 Conference, Virtual Access, Monday\n\nSession Chair: Ali Mahdavi-Amiri (Si
 mon Fraser University, MARZ VFX)\n\n
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