2020
DOI: 10.15294/harmonia.v20i2.22556
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Modification of Visual Characters in Indonesia Animation Film

Abstract: This study aims to determine the relationship between facial physiognomy, body shape, and visualization of animated film character designs. Characterization in an animated film is inseparable from the characters who are placed to fulfill the film’s role. In the creation of physiognomy and body shapes can be combined as an approach to design. The characters are modified through simplifications in the form of cartoons. This is done so that the visualization of the character gets closer to the role added, in addi… Show more

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Cited by 2 publications
(1 citation statement)
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“…These methods cannot make a good trade-off between global image style conversion and local image semantic content details maintenance, so the semantic details in the image are often lost. In 2018, Ekawardhani et al proposed an adversarial generative network (Cartoon GAN) for cartoon-style migration based on adversarial generative networks, which can achieve cartoon-style rendering of realistic images [ 19 ]. Still, the model trained by this method can only handle a single cartoon substyle (e.g., Hayao Miyazaki's style and Makoto Shinkai's style are different cartoon substyle), and this method cannot take high-resolution images [ 20 ].…”
Section: Related Workmentioning
confidence: 99%
“…These methods cannot make a good trade-off between global image style conversion and local image semantic content details maintenance, so the semantic details in the image are often lost. In 2018, Ekawardhani et al proposed an adversarial generative network (Cartoon GAN) for cartoon-style migration based on adversarial generative networks, which can achieve cartoon-style rendering of realistic images [ 19 ]. Still, the model trained by this method can only handle a single cartoon substyle (e.g., Hayao Miyazaki's style and Makoto Shinkai's style are different cartoon substyle), and this method cannot take high-resolution images [ 20 ].…”
Section: Related Workmentioning
confidence: 99%