Food category transfer with conditional cycleGAN and a large-scale food image dataset
Food category transfer with conditional cycleGAN and a large-scale food image dataset
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使用条件循环GAN和大规模食品图像数据集进行食品类别转移
DOI：
10.1145/3230519.3230597
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Yanai Keiji
中科院分区：
文献类型：
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作者：
Horita Daichi;Tanno Ryosuke;Shimoda Wataru;Yanai Keiji
本文描述了一种基于条件循环GAN[A3](CCycleGAN)的食物图像变换方法，并从推特上采集了大规模的食物图像数据。CCycleGAN是CycleGAN的扩展，它可以在10种食物之间进行食物类别转移，并保持给定食物的形状。我们的实验表明，使用cCycleGAN的200和30,000张食物图像可以在10种典型的日本食物之间进行非常自然的食物类别转换：拉面、咖喱米饭、炒饭、牛肉米饭、冷冻面、肉源意大利面、白米饭、鳗鱼碗和炒面。
This paper describes "food image transformation" based on a conditional cycleGAN[A3] (cCycleGAN) with a large-scale food image data collected from the Twitter stream. A cCycleGAN is an extension of CycleGAN, which enables "food category transfer" among 10 types of foods and retain the shape of a given food. We experimentally show that 200 and 30,000 food images with the cCycleGAN enable a very natural food category transfer among 10 types 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.