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TZID:Asia/Hong_Kong
X-LIC-LOCATION:Asia/Hong_Kong
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DTSTART:19911015T033000
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BEGIN:VEVENT
DTSTAMP:20251218T030657Z
LOCATION:Meeting Room S421\, Level 4
DTSTART;TZID=Asia/Hong_Kong:20251218T112300
DTEND;TZID=Asia/Hong_Kong:20251218T113400
UID:siggraphasia_SIGGRAPH Asia 2025_sess150_papers_1131@linklings.com
SUMMARY:Temporally Smooth Mesh Extraction for Procedural Scenes with Long-
 Range Camera Trajectories using Spacetime Octrees
DESCRIPTION:Zeyu Ma, Adam Finkelstein, and Jia Deng (Princeton University)
 \n\nThe procedural occupancy function is a flexible and compact representa
 tion for creating 3D scenes. For rasterization and other tasks, it is ofte
 n necessary to extract a mesh that represents the shape. Unbounded scenes 
 with long-range camera trajectories, such as flying through a forest, pose
  a unique challenge for mesh extraction. A single static mesh representing
  all the geometric detail necessary for the full camera path can be prohib
 itively large. Therefore, independent meshes can be extracted for differen
 t camera views, but this approach may lead to popping artifacts during tra
 nsitions. We propose a temporally coherent method for extracting meshes su
 itable for long-range camera trajectories in unbounded scenes represented 
 by an occupancy function. The key idea is to perform 4D mesh extraction us
 ing a new spacetime tree structure called a binary-octree. Experiments sho
 w that, compared to existing baseline methods, our method offers superior 
 visual consistency at a comparable cost.\n\nRegistration Category: Full Ac
 cess, Full Access Supporter\n\nSession Chair: Xuejin Chen (University of S
 cience and Technology of China)\n\n
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