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HFHuman: High-Fidelity Human Reconstruction from Single Image with Multi-Modality Fusion
SessionInvited: Posters
DescriptionThis study addresses the significant challenge of generating realistic 3D human models from a single image. Our HFHuman presents an innovative approach that extracts and fuses multi-modality information, such as depth, surface normals, and body posture, from single images to construct more precise 3D models.
Contributors
Yiming Jiang
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University
Wenfeng Song
Computer School, Beijing Information Science and Technology University
Shuai Li
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University
Zhongguancun Laboratory
Aimin Hao
State Key Laboratory of Virtual Reality Technology and Systems, Beihang University
Research Unit of Virtual Human and Virtual Surgery (2019RU004), Chinese Academy of Medical Sciences
Event Type
Invited Poster
Poster
TimeMonday, 15 December 20259:00am - 6:00pm HKT
LocationChancellor 1+2, Level 4
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