Automatic generation of background computer graphics by two types of deep learning according to user's preference

Yusuke Funabiki; Yuta Muraki; Ken-ichi Kobori

doi:10.1117/12.2590735

13 March 2021 Automatic generation of background computer graphics by two types of deep learning according to user's preference

Yusuke Funabiki, Yuta Muraki, Ken-ichi Kobori

Author Affiliations +

Proceedings Volume 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021; 117660E (2021) https://doi.org/10.1117/12.2590735
Event: International Workshop on Advanced Imaging Technology 2021 (IWAIT 2021), 2021, Online Only

Abstract

With the digitization of work production, CG has come to be widely used as a background for movies, game maps, and illustrations. The background CG handled by these is generally produced one by one using CG software. However, when creating background CG with conventional CG software, it is necessary to determine the position of buildings and roads, change the size of the CG model to be placed, and create textures corresponding to each CG model. This requires specialized knowledge and skills, and takes a lot of time and effort. Therefore, we propose an automatic background CG generation system that uses two types of deep learning.

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Yusuke Funabiki, Yuta Muraki, and Ken-ichi Kobori "Automatic generation of background computer graphics by two types of deep learning according to user's preference", Proc. SPIE 11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021, 117660E (13 March 2021); https://doi.org/10.1117/12.2590735

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