Presentation

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Inverse Rendering for Discrete X-Ray Computed Tomography
SessionInverse Rendering
DescriptionWe propose a gradient-based discrete tomography method that models each voxel as a probability distribution over known materials, minimizing an object-space loss for projection consistency. Inspired by inverse rendering, it outperforms classical methods, supports scattering, and excels in sparse and limited-angle scenarios.
Authors
Lovro Nuic
Ecole Polytechnique Fédérale de Lausanne
Ziyi Zhang
Ecole Polytechnique Fédérale de Lausanne
Korbinian Sager
Carl Zeiss AG
Wenzel Jakob
Ecole Polytechnique Fédérale de Lausanne
Event Type
Technical Paper
TimeThursday, 23 July 20269:00am - 9:10am PDT
LocationRoom 408 A
Digital Library PDF
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Thursday, 23 July 20269:00am - 10:30am PDTRoom 408 A
Keywords
Rendering
Registration Categories
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Full Conference
Next PresentationNext PresentationAmbient-robust Inverse Rendering using Robot-assisted RGB-NIR Imaging
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