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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20230103T035307Z
LOCATION:Auditorium\, Level 5\, West Wing
DTSTART;TZID=Asia/Seoul:20221206T100000
DTEND;TZID=Asia/Seoul:20221206T120000
UID:siggraphasia_SIGGRAPH Asia 2022_sess153_papers_478@linklings.com
SUMMARY:LaplacianFusion: Detailed 3D Clothed-Human Body Reconstruction
DESCRIPTION:Technical Papers\n\nLaplacianFusion: Detailed 3D Clothed-Human
  Body Reconstruction\n\nKim, Nam, Kim, Park, Lee\n\nWe propose LaplacianFu
 sion, a novel approach that reconstructs detailed and controllable 3D clot
 hed-human body shapes from an input depth or 3D point cloud sequence.\nThe
  key idea of our approach is to use Laplacian coordinates, well-known diff
 erential coordinates that have been used for mesh editing, for representin
 g the local structures contained in the input scans, instead of implicit 3
 D functions or vertex displacements used previously.\nOur approach reconst
 ructs a controllable base mesh using SMPL, and learns a surface function t
 hat predicts Laplacian coordinates representing surface details on the bas
 e mesh.\nFor a given pose, we first build and subdivide a base mesh, which
  is a deformed SMPL template, and then estimate Laplacian coordinates for 
 the mesh vertices using the surface function.\nThe final reconstruction fo
 r the pose is obtained by integrating the estimated Laplacian coordinates 
 as a whole.\nExperimental results show that our approach based on Laplacia
 n coordinates successfully reconstructs more visually pleasing shape detai
 ls than previous methods. The approach also enables various surface detail
  manipulations, such as detail transfer and enhancement.\n\nRegistration C
 ategory: FULL ACCESS, EXPERIENCE PLUS ACCESS, EXPERIENCE ACCESS, TRADE EXH
 IBITOR\n\nLanguage: ENGLISH\n\nFormat: IN-PERSON
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_478&sess=sess15
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