A Study of Cross-domain Generative Models applied to Cartoon Series

29 Sep 2017 Eman T. Hassan David J. Crandall

We investigate Generative Adversarial Networks (GANs) to model one particular kind of image: frames from TV cartoons. Cartoons are particularly interesting because their visual appearance emphasizes the important semantic information about a scene while abstracting out the less important details, but each cartoon series has a distinctive artistic style that performs this abstraction in different ways... (read more)

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