Presentation

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Portrait3D: Text-guided High-quality 3D Portrait Generation Using Pyramid Representation and GANs Prior
Session3D Face Generator and Animation
DescriptionWe present Portrait3D, a novel text-to-3D-portrait generation framework that produces high-quality, view-consistent, realistic, and canonical 3D portraits that are in alignment with the input text prompts.
Authors
Yiqian Wu
Zhejiang University
State Key Lab of CAD&CG, Zhejiang University
Hao Xu
Zhejiang University
State Key Lab of CAD&CG, Zhejiang University
Xiangjun Tang
Zhejiang University
State Key Lab of CAD&CG, Zhejiang University
Xien Chen
Yale University
Siyu Tang
ETH Zürich
Zhebin Zhang
OPPO US Research Center
Chen Li
OPPO US Research Center
Xiaogang Jin
Zhejiang University
State Key Lab of CAD&CG, Zhejiang University
Event Type
Technical Paper
TimeMonday, 29 July 202410:45am - 10:55am 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 202410:45am - 12:15pm MDTMile High 1
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Animation
Geometry
Modeling
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Exhibitor Full Conference
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