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DTSTAMP:20240214T070246Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T091000
DTEND;TZID=Australia/Melbourne:20231214T092500
UID:siggraphasia_SIGGRAPH Asia 2023_sess148_tog_104@linklings.com
SUMMARY:Joint UV Optimization and Texture Baking
DESCRIPTION:Technical Papers, TOG\n\nJulian Knodt, Zherong Pan, Kui Wu, an
 d Xifeng Gao (LightSpeed Studios)\n\nLevel of detail (LOD) has been widely
  used in interactive computer graphics. In current industrial 3D modeling 
 pipelines, artists rely on commercial software to generate highly detailed
  models with UV maps, and then bake textures for low-poly counterparts. In
  these pipelines, each step is performed separately, leading to unsatisfac
 tory visual appearances for low polygon count models. Moreover, existing t
 exture baking techniques assume the low-poly mesh has a small geometric di
 fference from the high-poly, which is often not true in practice, especial
 ly with extremely low poly count models. To alleviate the visual discrepan
 cy 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-poly even with large geometric differences. We form
 ulate the optimization within a differentiable rendering framework, allowi
 ng the automatic adjustment of texture regions to encode appearance inform
 ation. To compensate for view parallax when two meshes have large geometri
 c differences, we introduce a Spherical Harmonic (SH) parallax mapping, wh
 ich uses SH functions to modulate per-texel UV coordinates based on the vi
 ew direction. We evaluate the effectiveness and robustness of our approach
  on a dataset composed of online downloaded models, with varying complexit
 ies and geometric discrepancies. Our method achieves superior quality over
  state-of-the-art techniques and commercial solutions.\n\nRegistration Cat
 egory: Full Access\n\nSession Chair: Lin Lu (Shandong University)
URL:https://asia.siggraph.org/2023/full-program?id=tog_104&sess=sess148
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