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VERSION:2.0
PRODID:Linklings LLC
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TZID:Asia/Hong_Kong
X-LIC-LOCATION:Asia/Hong_Kong
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:19911015T033000
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BEGIN:VEVENT
DTSTAMP:20251218T030656Z
LOCATION:Meeting Room S426+S427\, Level 4
DTSTART;TZID=Asia/Hong_Kong:20251218T133100
DTEND;TZID=Asia/Hong_Kong:20251218T134200
UID:siggraphasia_SIGGRAPH Asia 2025_sess156_papers_2032@linklings.com
SUMMARY:GSWT: Gaussian Splatting Wang Tiles
DESCRIPTION:Yunfan Zeng (Hong Kong University of Science and Technology), 
 Li Ma (Eyeline), and Pedro Sander (Hong Kong University of Science and Tec
 hnology)\n\n3D Gaussian Splatting (3DGS) has shown strong capability in re
 constructing and rendering photorealistic 3D scenes with high efficiency. 
 However, extending 3DGS to synthesize large-scale or infinite terrains fro
 m a single captured exemplar—remains an open challenge. In this paper, we 
 propose a tile-based framework that addresses this problem. Our method bui
 lds on Wang Tiles, where each tile encodes a local field of Gaussians with
  boundary constraints to ensure seamless transitions. This enables stochas
 tic yet continuous tiling of Gaussian fields over arbitrary surfaces, allo
 wing for procedural generation of expansive terrains with high spatial div
 ersity. Furthermore, we introduce several rendering optimizations tailored
  to the unique characteristics of 3DGS Wang tiles, achieving real-time ren
 dering of large-scale 3DGS terrains.\n\nRegistration Category: Full Access
 , Full Access Supporter\n\nSession Chair: Manyi Li (Shandong University)\n
 \n
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