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DTSTAMP:20260805T205606Z
LOCATION:Room 408 A
DTSTART;TZID=America/Los_Angeles:20260723T090000
DTEND;TZID=America/Los_Angeles:20260723T091000
UID:siggraph_SIGGRAPH 2026_sess133_papers_1520@linklings.com
SUMMARY:Inverse Rendering for Discrete X-Ray Computed Tomography
DESCRIPTION:Lovro Nuic and Ziyi Zhang (Ecole Polytechnique Fédérale de Lau
 sanne), Korbinian Sager (Carl Zeiss AG), and Wenzel Jakob (Ecole Polytechn
 ique Fédérale de Lausanne)\n\nWe propose a gradient-based discrete tomogra
 phy method that models each voxel as a probability distribution over known
  materials, minimizing an object-space loss for projection consistency. In
 spired by inverse rendering, it outperforms classical methods, supports sc
 attering, and excels in sparse and limited-angle scenarios.\n\nInterest Ar
 ea: Research & Education\n\nKeyword: Lighting, Modeling, Rendering\n\nRegi
 stration Category: Full Conference Supporter, Full Conference\n\nSession C
 hair: David Hahn (Technische Universität Wien (TU Wien))\n\n
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