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UID:siggraph_SIGGRAPH 2026_sess110_papers_161@linklings.com
SUMMARY:FLASHand: Feed-forward reLightable and Animatable Single-view Hand
  Reconstruction
DESCRIPTION:Ling-Xiao Zhang and Lin Gao (Institute of Computing Technology
 , Chinese Academy of Sciences; University of Chinese Academy of Sciences);
  Wei-Hong He (South China University of Technology); Yu-Xuan Yang (East Ch
 ina Normal University); Yunbing Xing (Institute of Computing Technology, C
 hinese Academy of Sciences); Yu-Kun Lai (Cardiff University); and Yiqiang 
 Chen (Institute of Computing Technology, Chinese Academy of Sciences)\n\nW
 e propose FLASHand, the first feed-forward model to reconstruct high-fidel
 ity, relightable, and animatable 3D hand avatars from a single RGB image. 
 By leveraging NIMBLE priors and mesh-based 2D Gaussian Splatting, FLASHand
  achieves instant, personalized reconstruction with disentangled appearanc
 e, supporting real-time animation and relighting.\n\nInterest Area: Resear
 ch & Education\n\nKeyword: Animation, Artificial Intelligence/Machine Lear
 ning, Generative AI, Geometry, Modeling, Simulation, Virtual Reality\n\nRe
 gistration Category: Full Conference Supporter, Full Conference\n\nSession
  Chair: Ruizhen Hu (Shenzhen University (SZU))\n\n
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