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LOCATION:Room 408 A
DTSTART;TZID=America/Los_Angeles:20260721T105500
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UID:siggraph_SIGGRAPH 2026_sess130_papers_1134@linklings.com
SUMMARY:VideoNeuMat: Neural Material Extraction from Generative Video Mode
 ls
DESCRIPTION:Bowen Xue (University of Manchester); Saeed Hadadan (NVIDIA); 
 Zheng Zeng (University of California Santa Barbara, NVIDIA); Fabrice Rouss
 elle (NVIDIA); Zahra Montazeri (University of Manchester); and Milos Hasan
  (NVIDIA)\n\nVideoNeuMat extracts reusable neural materials from video dif
 fusion models. It fine-tunes a large video model as a virtual gonioreflect
 ometer and uses a Large Reconstruction Model (LRM) to reconstruct compact 
 neural materials in a single pass. The resulting materials are realistic, 
 diverse, and generalize to novel viewing and lighting conditions.\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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