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DTSTAMP:20260805T205601Z
LOCATION:Room 408 A
DTSTART;TZID=America/Los_Angeles:20260721T113500
DTEND;TZID=America/Los_Angeles:20260721T114500
UID:siggraph_SIGGRAPH 2026_sess130_papers_1009@linklings.com
SUMMARY:Robust In-Engine Texture Optimization from Inconsistent Generative
  Targets
DESCRIPTION:Taejoon Kim, Seung-Uk Yoon, Seong-Jae Lim, Bon-Woo Hwang, Kina
 m Kim, and Seung Wook Lee (Electronics and Telecommunications Research Ins
 titute (ETRI))\n\nWe present a practical method for optimizing textures di
 rectly inside production rendering engines from inconsistent AI-generated 
 images. By handling geometric mismatch and unreliable details, our approac
 h avoids blur and ghosting, enabling robust texture refinement without req
 uiring differentiable rendering or changes to existing pipelines.\n\nInter
 est Area: Research & Education\n\nKeyword: Artificial Intelligence/Machine
  Learning, Modeling, Real-Time, Rendering\n\nRegistration Category: Full C
 onference Supporter, Full Conference\n\nSession Chair: Jeppe Revall Frisva
 d (Technical University of Denmark)\n\n
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