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TZID:Asia/Tokyo
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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20260817T171536Z
LOCATION:Hall B5 (1)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241205T090000
DTEND;TZID=Asia/Tokyo:20241205T101000
UID:siggraphasia_SIGGRAPH Asia 2024_sess124@linklings.com
SUMMARY:Deform Your Axis:  Skeletons and Cages
DESCRIPTION:Each Paper gives a 10 minute presentation.\n\nDynamic Skeleton
 ization via Variational Medial Axis Sampling\n\nWe present a novel method 
 for computing a discrete skeleton from a shape represented by a point clou
 d or triangle mesh.\nInspired by variational shape approximation, our appr
 oach optimizes the partitioning of the input shape by minimizing an error 
 metric defined between medial axis samples (medial sp...\n\n\nQijia HUANG,
  Pierre KRAEMER, Sylvain THERY, and Dominique BECHMANN (Université de Stra
 sbourg; ICube, CNRS)\n---------------------\nMedial Skeletal Diagram: A Ge
 neralized Medial Axis Approach for 3D Shape Representation\n\nWe propose t
 he Medial Skeletal Diagram, a novel skeletal representation that tackles t
 he prevailing issues around skeleton sparsity and reconstruction accuracy 
 in existing skeletal representations. Our approach augments the continuous
  elements in the medial axis representation to effectively shift t...\n\n\
 nMinghao Guo, Bohan Wang, and Wojciech Matusik (MIT CSAIL)\n--------------
 -------\nMATTopo: Topology-preserving Medial Axis Transform with Restricte
 d Power Diagram\n\nWe present a novel topology-preserving 3D medial axis c
 omputation framework based on volumetric restricted power diagram (RPD), w
 hile preserving the medial features and geometric convergence simultaneous
 ly, for both 3D CAD and organic shapes. The volumetric RPD discretizes the
  input 3D volume into s...\n\n\nNingna Wang (University of Texas at Dallas
 ), Hui Huang (Shenzhen University (SZU)), Shibo Song (Independent Research
 er), Bin Wang (Tsinghua University), Wenping Wang (Texas A&M University), 
 and Xiaohu Guo (University of Texas at Dallas)\n---------------------\nDef
 ormation Recovery: Localized Learning for Detail-Preserving Deformations\n
 \nWe introduce a novel data-driven approach aimed at designing high-qualit
 y shape deformations based on a coarse localized input signal. Unlike prev
 ious data-driven methods that require a global shape encoding, we observe 
 that detail-preserving deformations can be estimated reliably without any 
 global...\n\n\nRamana Sundararaman (Centre National de la Recherche Scient
 ifique - Laboratoire d'informatique de l'École Polytechnique (LIX)); Nicol
 as Donati (Ansys); Simone Melzi (University of Milano-Bicocca); Etienne Co
 rman (Université de Lorraine, CNRS); and Maks Ovsjanikov (Centre National 
 de la Recherche Scientifique - Laboratoire d'informatique de l'École Polyt
 echnique (LIX))\n---------------------\nPolynomial Cauchy Coordinates for 
 Curved Cages\n\nBarycentric coordinates are widely used in computer graphi
 cs, especially in shape deformation. Traditionally, barycentric coordinate
 s are defined for polygonal domains. In this work, we relax this requireme
 nt by representing the boundary of the domain using a Bézier spline and ex
 tend the complex-val...\n\n\nZhehui Lin and Renjie Chen (University of Sci
 ence and Technology of China)\n---------------------\nC^0 Generalized Coon
 s Patches for High-order Cage-based Deformation\n\nSpace deformations defo
 rm the ambient space and thus implicitly deform the embedded objects. Free
 -Form Deformation allows high-order deformation to the embedding space, ye
 t the lattice may fail to conform to the object and involves many internal
  control points. Cage-based Deformation utilizes a cage...\n\n\nKaikai Qin
 , Yunhao Zhou, Chenhao Ying, Yajuan Li, and Chongyang Deng (Hangzhou Dianz
 i University)\n\nRegistration Category: Full Access, Full Access Supporter
 \n\nLanguage Format: English Language\n\nSession Chair: Yotam Gingold (Geo
 rge Mason University)
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