BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Australia/Melbourne
X-LIC-LOCATION:Australia/Melbourne
BEGIN:DAYLIGHT
TZOFFSETFROM:+1000
TZOFFSETTO:+1100
TZNAME:AEDT
DTSTART:19721003T020000
RRULE:FREQ=YEARLY;BYMONTH=4;BYDAY=1SU
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:19721003T020000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260114T163633Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_tog_104@linklings.com
SUMMARY:Joint UV Optimization and Texture Baking
DESCRIPTION:Julian Knodt, Zherong Pan, Kui Wu, and Xifeng Gao (LightSpeed 
 Studios)\n\nLevel of detail (LOD) has been widely used in interactive comp
 uter graphics. In current industrial 3D modeling pipelines, artists rely o
 n commercial software to generate highly detailed models with UV maps, and
  then bake textures for low-poly counterparts. In these pipelines, each st
 ep is performed separately, leading to unsatisfactory visual appearances f
 or low polygon count models. Moreover, existing texture baking techniques 
 assume the low-poly mesh has a small geometric difference from the high-po
 ly, which is often not true in practice, especially with extremely low pol
 y count models. To alleviate the visual discrepancy of the low-poly mesh, 
 we propose to jointly optimize UV mappings during texture baking, allowing
  for low-poly models to faithfully replicate the appearance of the high-po
 ly even with large geometric differences. We formulate the optimization wi
 thin a differentiable rendering framework, allowing the automatic adjustme
 nt of texture regions to encode appearance information. To compensate for 
 view parallax when two meshes have large geometric differences, we introdu
 ce a Spherical Harmonic (SH) parallax mapping, which uses SH functions to 
 modulate per-texel UV coordinates based on the view direction. We evaluate
  the effectiveness and robustness of our approach on a dataset composed of
  online downloaded models, with varying complexities and geometric discrep
 ancies. Our method achieves superior quality over state-of-the-art techniq
 ues and commercial solutions.\n\nRegistration Category: Full Access, Enhan
 ced Access, Trade Exhibitor, Experience Hall Exhibitor\n\n
URL:https://asia.siggraph.org/2023/full-program?id=tog_104&sess=sess209
END:VEVENT
END:VCALENDAR