Jong-In Choi1, Soo-Kyun Kim2, Shin-Jin Kang3,*
CMES-Computer Modeling in Engineering & Sciences, Vol.131, No.2, pp. 747-762, 2022, DOI:10.32604/cmes.2022.018201
- 14 March 2022
Abstract Two-dimensional (2D) character animation is one of the most important visual elements on which users’ interest
is focused in the game field. However, 2D character animation works in the game field are mostly performed
manually in two dimensions, thus generating high production costs. This study proposes a generative adversarial
network based production tool that can easily and quickly generate the sprite images of 2D characters. First, we
proposed a methodology to create a synthetic dataset for training using images from the real world in the game
resource production field where machine learning datasets are insufficient. More >
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