Serviceeinschränkungen vom 12.-22.02.2026 - weitere Infos auf der UB-Homepage
American Psychological Association 6th edition

Huang, H., Kalogerakis, E., & Marlin, B. (2015). Analysis and synthesis of 3 D shape families via deep-learned generative models of surfaces. Computer Graphics Forum, 34(5), 25-38. https://doi.org/10.1111/cgf.12694

ISO-690 (author-date, English)

HUANG, Haibin, KALOGERAKIS, Evangelos und MARLIN, Benjamin, 2015. Analysis and synthesis of 3 D shape families via deep-learned generative models of surfaces. Computer Graphics Forum. 1 August 2015. Vol. 34, no. 5, p. 25-38. DOI 10.1111/cgf.12694.

Modern Language Association 9th edition

Huang, H., E. Kalogerakis, und B. Marlin. „Analysis and Synthesis of 3 D Shape Families via Deep-Learned Generative Models of Surfaces.“. Computer Graphics Forum, Bd. 34, Nr. 5, August 2015, S. 25-38, https://doi.org/10.1111/cgf.12694.

Mohr Siebeck - Recht (Deutsch - Österreich)

Huang, Haibin/Kalogerakis, Evangelos/Marlin, Benjamin: Analysis and synthesis of 3 D shape families via deep-learned generative models of surfaces., Computer Graphics Forum 2015, 25-38.

Emerald - Harvard

Huang, H., Kalogerakis, E. und Marlin, B. (2015), „Analysis and synthesis of 3 D shape families via deep-learned generative models of surfaces.“, Computer Graphics Forum, Vol. 34 No. 5, S. 25-38.

Achtung: Diese Zitate sind unter Umständen nicht zu 100% korrekt.