Realistic Image Synthesis of Imperfect Specimens using Generative Networks

Neufeld D, Würfl T, Gruber R, Schön T, Maier A (2019)

Publication Type: Conference contribution, Original article

Publication year: 2019

Pages Range: 1-6

Conference Proceedings Title: Proceedings of the 9th Conference on Industrial Computed Tomography (iCT 2019)

Event location: Padova

URI: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Neufeld19-RIS.pdf

Open Access Link: https://www.ndt.net/article/ctc2019/papers/iCT2019_Full_paper_33.pdf

Authors with CRIS profile

Tobias Würfl Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

How to cite

APA:

Neufeld, D., Würfl, T., Gruber, R., Schön, T., & Maier, A. (2019). Realistic Image Synthesis of Imperfect Specimens using Generative Networks. In Proceedings of the 9th Conference on Industrial Computed Tomography (iCT 2019) (pp. 1-6). Padova.

MLA:

Neufeld, Deniz, et al. "Realistic Image Synthesis of Imperfect Specimens using Generative Networks." Proceedings of the 9th Conference on Industrial Computed Tomography (iCT 2019), Padova 2019. 1-6.

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