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DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 301-305
DTSTART;TZID=America/Los_Angeles:20250814T113500
DTEND;TZID=America/Los_Angeles:20250814T114500
UID:siggraph_SIGGRAPH 2025_sess111_papers_222@linklings.com
SUMMARY:HumanRAM: Feed-forward Human Reconstruction and Animation Model us
 ing Transformers
DESCRIPTION:Zhiyuan Yu (Department of Mathematics, Hong Kong University of
  Science and Technology); Zhe Li (Huawei); Hujun Bao (State Key Laboratory
  of CAD&CG, Zhejiang University); Can Yang (Department of Mathematics, Hon
 g Kong University of Science and Technology); and Xiaowei Zhou (State Key 
 Laboratory of CAD&CG, Zhejiang Univerisity)\n\nExisting avatar methods typ
 ically require sophisticated dense-view capture and/or time-consuming per-
 subject optimization processes. HumanRAM proposes a feed-forward approach 
 for generalizable human reconstruction and animation from monocular or spa
 rse human images. Experiments show that HumanRAM achieves state-of-the-art
  results in terms of reconstruction accuracy, animation fidelity, and gene
 ralization performance.\n\nInterest Area: Research & Education\n\nRecordin
 g: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRegistration 
 Category: Full Conference, Virtual Access, Thursday\n\nSession Chair: Davi
 d Hahn (Technische Universität Wien (TU Wien))\n\n
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