Presentation

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Media2Face: Co-speech Facial Animation Generation With Multi-modality Guidance
Session3D Face Generator and Animation
DescriptionMedia2Face can generate highly realistic and expressive 3D facial animations from diverse multimedia inputs — audio, text, and images — trained on the largest ever co-speech 3D facial animation dataset. With Media2Face, avatars can now embody complex inner emotions with unprecedented fidelity and versatility in rich multi-modality guidance.
Authors
Qingcheng Zhao
ShanghaiTech University
Deemos Technology
Pengyu Long
ShanghaiTech University
Deemos Technology
Qixuan Zhang
ShanghaiTech University
Deemos Technology
Dafei Qin
University of Hong Kong
Deemos Technology
Han Liang
ShanghaiTech University
Longwen Zhang
ShanghaiTech University
Deemos Technology
Yingliang Zhang
DGene Digital Technology Co., Ltd.
Jingyi Yu
ShanghaiTech University
Lan Xu
ShanghaiTech University
Event Type
Technical Paper
TimeMonday, 29 July 202411:35am - 11:45am 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
Registration Categories
Full Conference
Full Conference Supporter
Virtual Access
Exhibitor Full Conference
Monday
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