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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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DTSTART:18871231T000000
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DTSTAMP:20260817T171538Z
LOCATION:Hall B5 (1)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241204T104500
DTEND;TZID=Asia/Tokyo:20241204T115500
UID:siggraphasia_SIGGRAPH Asia 2024_sess112@linklings.com
SUMMARY:Surface Reconstruction and Modeling
DESCRIPTION:Each Paper gives a 10 minute presentation.\n\nStochastic Norma
 l Orientation for Point Clouds\n\nWe propose a simple yet effective method
  to orient normals for point clouds. Central to our approach is a novel op
 timization objective function defined from global and local perspectives. 
 Globally, we introduce a signed uncertainty function that distinguishes th
 e inside and outside of the underlying...\n\n\nGuojin Huang, Qing Fang, Zh
 eng Zhang, Ligang Liu, and Xiao-Ming Fu (University of Science and Technol
 ogy of China)\n---------------------\nFast and Globally Consistent Normal 
 Orientation based on the Winding Number Normal Consistency\n\nEstimating c
 onsistently oriented normals for point clouds enables a number of importan
 t applications in computer graphics such as surface reconstruction. While 
 local normal estimation is possible with simple techniques like principal 
 component analysis (PCA), orienting these normals to be globally c...\n\n\
 nSiyou Lin (Department of Automation, Tsinghua University); Zuoqiang Shi (
 Yau Mathematical Sciences Center, Tsinghua University; Yanqi Lake Beijing 
 Institute of Mathematical Sciences and Applications); and Yebin Liu (Depar
 tment of Automation, Tsinghua University)\n---------------------\nSurface 
 Reconstruction Using Rotation Systems\n\nInspired by the seminal result th
 at a graph and an associated rotation system uniquely determine the topolo
 gy of a closed manifold, we propose a combinatorial method for reconstruct
 ion of surfaces from points. Our method constructs a spanning tree and a r
 otation system. Since the tree is trivially a...\n\n\nRuiqi Cui, Emil Toft
 egaard Gæde, and Eva Rotenberg (Technical University of Denmark); Leif Kob
 belt (Visual Computing Institute, RWTH Aachen University); and J. Andreas 
 Bærentzen (Technical University of Denmark)\n---------------------\nPVP-Re
 con: Progressive View Planning via Warping Consistency for Sparse-View Sur
 face Reconstruction\n\nNeural implicit representations have revolutionized
  dense multi-view surface reconstruction, yet their performance significan
 tly diminishes with sparse input views. A few pioneering works have sought
  to tackle the challenge of sparse-view reconstruction by leveraging addit
 ional geometric priors or m...\n\n\nSheng Ye, Yuze He, Matthieu Lin, Jenny
  Sheng, and Ruoyu Fan (Tsinghua University); Yiheng Han (Beijing Universit
 y of Technology); Yubin Hu (Tsinghua University); Ran Yi (Shanghai Jiao To
 ng University); Yu-Hui Wen (Beijing Jiaotong University); Yong-Jin Liu (Ts
 inghua University); and Wenping Wang (Texas A&M University)\n-------------
 --------\n3D Reconstruction with Fast Dipole Sums\n\nWe introduce a method
  for high-quality 3D reconstruction from multi-view images. Our method use
 s a new point-based representation, the regularized dipole sum, which gene
 ralizes the winding number to allow for interpolation of per-point attribu
 tes in point clouds with noisy or outlier points. Using r...\n\n\nHanyu Ch
 en, Bailey Miller, and Ioannis Gkioulekas (Carnegie Mellon University)\n--
 -------------------\nArchitectural Co-LOD Generation\n\nManaging the level
 -of-detail (LOD) in architectural models is crucial yet challenging, parti
 cularly for effective representation and visualization of buildings. Tradi
 tional approaches often fail to deliver controllable detail alongside sema
 ntic consistency, especially when dealing with noisy and inc...\n\n\nRunze
  Zhang, Shanshan Pan, and Chenlei Lv (Shenzhen University (SZU)); Minglun 
 Gong (University of Guelph); and Hui Huang (Shenzhen University (SZU))\n\n
 Registration Category: Full Access, Full Access Supporter\n\nLanguage Form
 at: English Language\n\nSession Chair: Michael Wimmer (TU Wien, Technische
  Universität Wien (TU Wien))
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