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BEGIN:VEVENT
DTSTAMP:20250522T212943Z
LOCATION:Mile High 1
DTSTART;TZID=America/Denver:20240729T141000
DTEND;TZID=America/Denver:20240729T142000
UID:siggraph_SIGGRAPH 2024_sess108_papers_758@linklings.com
SUMMARY:Subject-Diffusion: Open Domain Personalized Text-to-image Generati
 on Without Test-time Fine-tuning
DESCRIPTION:Jian Ma (OPPO), Junhao Liang (Southern University of Science a
 nd Technology), and Chen Chen and Haonan Lu (OPPO)\n\nWe present Subject-D
 iffusion, a novel open-domain personalized image generation model that, in
  addition to not requiring test-time fine-tuning, also only requires a sin
 gle reference image to support personalized generation of single- or two-s
 ubjects in any domain.\n\nInterest Area: Research & Education\n\nRecording
 : Livestreamed, Recorded\n\nKeyword: AI, Machine Learning, Rendering\n\nRe
 gistration Category: Full Conference, Full Conference Supporter, Virtual A
 ccess, Exhibitor Full Conference, Monday\n\nSession Chair: Holly Rushmeier
  (Yale University)\n\n
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