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DTSTAMP:20240214T070241Z
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:Technical Papers\n\nJulian Knodt, Zherong Pan, Kui Wu, and Xif
 eng Gao (LightSpeed Studios)\n\nLevel of detail (LOD) has been widely used
  in interactive computer graphics. In current industrial 3D modeling pipel
 ines, artists rely on commercial software to generate highly detailed mode
 ls with UV maps, and then bake textures for low-poly counterparts. In thes
 e pipelines, each step is performed separately, leading to unsatisfactory 
 visual appearances for low polygon count models. Moreover, existing textur
 e baking techniques assume the low-poly mesh has a small geometric differe
 nce from the high-poly, which is often not true in practice, especially wi
 th extremely low poly count models. To alleviate the visual discrepancy of
  the low-poly mesh, we propose to jointly optimize UV mappings during text
 ure baking, allowing for low-poly models to faithfully replicate the appea
 rance of the high-poly even with large geometric differences. We formulate
  the optimization within a differentiable rendering framework, allowing th
 e automatic adjustment of texture regions to encode appearance information
 . To compensate for view parallax when two meshes have large geometric dif
 ferences, we introduce a Spherical Harmonic (SH) parallax mapping, which u
 ses SH functions to modulate per-texel UV coordinates based on the view di
 rection. We evaluate the effectiveness and robustness of our approach on a
  dataset composed of online downloaded models, with varying complexities a
 nd geometric discrepancies. Our method achieves superior quality over stat
 e-of-the-art techniques and commercial solutions.\n\nRegistration Category
 : Full Access, Enhanced Access, Trade Exhibitor, Experience Hall Exhibitor
URL:https://asia.siggraph.org/2023/full-program?id=tog_104&sess=sess209
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