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DTSTART:19911015T033000
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BEGIN:VEVENT
DTSTAMP:20251218T030656Z
LOCATION:Meeting Room S423+S424\, Level 4
DTSTART;TZID=Asia/Hong_Kong:20251218T140400
DTEND;TZID=Asia/Hong_Kong:20251218T141500
UID:siggraphasia_SIGGRAPH Asia 2025_sess155_papers_2211@linklings.com
SUMMARY:The Aging Multiverse: Generating Condition-Aware Facial Aging Tree
  via Training-Free Diffusion
DESCRIPTION:Bang Gong and Luchao Qi (University of North Carolina at Chape
 l Hill (UNC)); Jiaye Wu (University of Maryland College Park); Zhicheng Fu
 , Chunbo Song, and John Nicholson (Lenovo); and Roni Sengupta (University 
 of North Carolina at Chapel Hill (UNC))\n\nWe introduce the Aging Multiver
 se, a framework for generating multiple plausible facial aging trajectorie
 s from a single image, each conditioned on external factors such as enviro
 nment, health, and lifestyle. Unlike prior methods that model aging as a s
 ingle deterministic path, our approach creates an aging tree that visualiz
 es diverse futures.\nTo enable this, we propose a training-free diffusion-
 based method that balances identity preservation, age accuracy, and condit
 ion control. Our key contributions include attention mixing to modulate ed
 iting strength and a Simulated Aging Regularization strategy to stabilize 
 edits. Extensive experiments and user studies demonstrate state-of-the-art
  performance across identity preservation, aging realism, and conditional 
 alignment, outperforming existing editing and age-progression models, whic
 h often fail to account for one or more of the editing criteria. By transf
 orming aging into a multi-dimensional, controllable, and interpretable pro
 cess, our approach opens up new creative and practical avenues in digital 
 storytelling, health education, and personalized visualization.\n\nRegistr
 ation Category: Full Access, Full Access Supporter\n\nSession Chair: Ali M
 ahdavi-Amiri (Simon Fraser University, MARZ VFX)\n\n
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