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DTSTART:18871231T000000
DTSTART:19881009T020000
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BEGIN:VEVENT
DTSTAMP:20230103T035309Z
LOCATION:Room 325-AB\, Level 3\, West Wing
DTSTART;TZID=Asia/Seoul:20221207T153000
DTEND;TZID=Asia/Seoul:20221207T170000
UID:siggraphasia_SIGGRAPH Asia 2022_sess163_papers_478@linklings.com
SUMMARY:LaplacianFusion: Detailed 3D Clothed-Human Body Reconstruction
DESCRIPTION:Technical Communications, Technical Papers\n\nLaplacianFusion:
  Detailed 3D Clothed-Human Body Reconstruction\n\nKim, Nam, Kim, Park, Lee
 \n\nWe propose LaplacianFusion, a novel approach that reconstructs detaile
 d and controllable 3D clothed-human body shapes from an input depth or 3D 
 point cloud sequence.\nThe key idea of our approach is to use Laplacian co
 ordinates, well-known differential coordinates that have been used for mes
 h editing, for representing the local structures contained in the input sc
 ans, instead of implicit 3D functions or vertex displacements used previou
 sly.\nOur approach reconstructs a controllable base mesh using SMPL, and l
 earns a surface function that predicts Laplacian coordinates representing 
 surface details on the base mesh.\nFor a given pose, we first build and su
 bdivide a base mesh, which is a deformed SMPL template, and then estimate 
 Laplacian coordinates for the mesh vertices using the surface function.\nT
 he final reconstruction for the pose is obtained by integrating the estima
 ted Laplacian coordinates as a whole.\nExperimental results show that our 
 approach based on Laplacian coordinates successfully reconstructs more vis
 ually pleasing shape details than previous methods. The approach also enab
 les various surface detail manipulations, such as detail transfer and enha
 ncement.\n\nRegistration Category: FULL ACCESS, ON-DEMAND ACCESS\n\nLangua
 ge: ENGLISH\n\nFormat: IN-PERSON, ON-DEMAND
URL:https://sa2022.siggraph.org/en/full-program/?id=papers_478&sess=sess16
 3
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