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DiffRenderGAN: Addressing Training Data Scarcity in Deep Segmentation Networks for Quantitative Nanomaterial Analysis through Differentiable Rendering and Generative Modelling

Fuente: arXiv

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Bibliographic Details
Main Authors:	Possart, Dennis, Mill, Leonid, Vollnhals, Florian, Hildebrand, Tor, Suter, Peter, Hoffmann, Mathis, Utz, Jonas, Augsburger, Daniel, Thies, Mareike, Wu, Mingxuan, Wagner, Fabian, Sarau, George, Christiansen, Silke, Breininger, Katharina
Format:	Preprint
Published:	2025
Subjects:	Materials Science Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
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