Presentation

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Subject-Diffusion: Open Domain Personalized Text-to-image Generation Without Test-time Fine-tuning
SessionConsistent Text-to-Image
DescriptionWe present Subject-Diffusion, a novel open-domain personalized image generation model that, in addition to not requiring test-time fine-tuning, also only requires a single reference image to support personalized generation of single- or two-subjects in any domain.
Authors
Jian Ma
OPPO
Junhao Liang
Southern University of Science and Technology
Chen Chen
OPPO
Haonan Lu
OPPO
Event Type
Technical Paper
TimeMonday, 29 July 20242:10pm - 2:20pm MDT
LocationMile High 1
ACM Digital Library Journal Papers' PDFs
Conference Papers' PDFs
Session Time & Location
Sunday, 28 July 20246:00pm - 8:45pm MDTBluebird Ballroom
Monday, 29 July 20242:00pm - 3:30pm MDTMile High 1
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
AI
Machine Learning
Rendering
Registration Categories
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Exhibitor Full Conference
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