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DTSTAMP:20260805T205601Z
LOCATION:Room 403  B
DTSTART;TZID=America/Los_Angeles:20260722T091000
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UID:siggraph_SIGGRAPH 2026_sess119_papers_371@linklings.com
SUMMARY:HairLRM: Strand-based Hair Modeling via Large Reconstruction Model
 s
DESCRIPTION:Yuefan Shen (LIGHTSPEED); Yican Dong (State Key Laboratory of 
 CAD & CG, Zhejiang University); Xiufeng Huang (Hong Kong Baptist Universit
 y); Zhongtian Zheng (LIGHTSPEED); Youyi Zheng (State Key Laboratory of CAD
  & CG, Zhejiang University); and Kui Wu (LIGHTSPEED)\n\nHairLRM integrates
  Large Reconstruction Model (LRM) geometric priors into strand generation.
  Leveraging an LRM mesh anchor and a Dual Orientation AutoEncoder, it tran
 sforms coarse geometry into high-fidelity strands, disentangling complex t
 opologies to set a new benchmark for robust, accurate hair reconstruction.
 \n\nInterest Area: Research & Education\n\nKeyword: Artificial Intelligenc
 e/Machine Learning, Geometry, Modeling, Rendering\n\nRegistration Category
 : Full Conference Supporter, Full Conference\n\nSession Chair: Etienne Vou
 ga (University of Texas Austin)\n\n
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