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DTSTAMP:20260805T205603Z
LOCATION:Room 403 A
DTSTART;TZID=America/Los_Angeles:20260722T143000
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UID:siggraph_SIGGRAPH 2026_sess111_papers_1012@linklings.com
SUMMARY:VFAvatar: Feed-Forward 3D Avatar Reconstruction from Casual Image 
 Collections
DESCRIPTION:Shuo Huang, Zixuan Wang, Xiaoyu Qin, Shikun Sun, Jiayi Li, and
  Jia Jia (CS Dept, Tsinghua University)\n\nWe introduce Visual-Fusion-Avat
 ar (VFAvatar), a novel end-to-end feed-forward framework that reconstructs
  3D avatars by fusing visual cues from casual image collections in just a 
 few seconds. \nVFAvatar integrates a pose-free reconstruction foundation m
 odel with a pretrained human generation prior in a mutually reinforcing ma
 nner and achieves SOTA performance.\n\nInterest Area: Research & Education
 \n\nKeyword: Animation, Artificial Intelligence/Machine Learning, Geometry
 , Modeling, Rendering, Simulation\n\nRegistration Category: Full Conferenc
 e Supporter, Full Conference\n\nSession Chair: Tamy Boubekeur (Adobe)\n\n
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