Magical Rice Bowl

Abstract

In this demo, we demonstrate Real-time Category Change'' based on a Conditional Cycle GAN (cCycle GAN) with a large-scale food image data collected from the Twitter Stream. Conditional Cycle GAN is an extension of CycleGAN, which enables Food Category Change'' among ten kinds of typical foods served in bowl-type dishes such as beef rice bowl and ramen noodles. The proposed system enables us to change the appearance of a given food photo according to the given category keeping the shape of the given food but exchanging its textures. For training, we used two hundred and thirty thousand food images which achieved very natural food category change among ten kinds of typical Japanese foods: ramen noodle, curry rice, fried rice, beef rice bowl, chilled noodle, spaghetti with meat source, white rice, eel bowl, and fried noodle.