BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Asia/Hong_Kong
X-LIC-LOCATION:Asia/Hong_Kong
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:19911015T033000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20251218T030656Z
LOCATION:Meeting Room S421\, Level 4
DTSTART;TZID=Asia/Hong_Kong:20251215T150000
DTEND;TZID=Asia/Hong_Kong:20251215T151100
UID:siggraphasia_SIGGRAPH Asia 2025_sess108_papers_1207@linklings.com
SUMMARY:PartUV: Part-Based UV Unwrapping of 3D Meshes
DESCRIPTION:Zhaoning Wang (Hillbot), Xinyue Wei and Ruoxi Shi (University 
 of California San Diego), Xiaoshuai Zhang (Hillbot), Hao Su (University of
  California San Diego), and Minghua Liu (Hillbot)\n\nUV unwrapping flatten
 s 3D surfaces to 2D with minimal distortion, often requiring the complex s
 urface to be decomposed into multiple charts. Although extensively studied
 , existing UV unwrapping methods frequently struggle with AI-generated or 
 reconstructed meshes, which are typically noisy, bumpy, and poorly conditi
 oned. These methods often produce highly fragmented charts and suboptimal 
 boundaries, introducing artifacts and hindering downstream tasks. We intro
 duce PartUV, a part-based UV unwrapping pipeline that generates significan
 tly fewer, part-aligned charts while maintaining low distortion. Built on 
 top of a recent learning-based part decomposition method PartField, PartUV
  combines high-level semantic part decomposition with novel geometric heur
 istics in a top-down recursive framework. It ensures each chart’s distorti
 on remains below a user-specified threshold while minimizing the total num
 ber of charts. The pipeline integrates and extends parameterization and pa
 cking algorithms, incorporates dedicated handling of non-manifold and dege
 nerate meshes, and is extensively parallelized for efficiency. Evaluated a
 cross four diverse datasets—including man-made, CAD, AI-generated, and Com
 mon Shapes—PartUV outperforms existing tools and recent neural methods in 
 chart count and seam length, achieves comparable distortion, exhibits high
  success rates on challenging meshes, and enables new applications like pa
 rt-specific multi-tiles packing.\n\nRegistration Category: Full Access, Fu
 ll Access Supporter\n\nSession Chair: Xiao-Ming Fu (University of Science 
 and Technology of China)\n\n
END:VEVENT
END:VCALENDAR