【DL輪読会】VIP: Towards Universal Visual Reward and Representation via Value-Impl...
[DL輪読会]StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
1. 1
DEEP LEARNING JP
[DL Papers]
http://deeplearning.jp/
StarGAN: Unified Generative Adversarial Networks for Multi-
Domain Image-to-ImageTranslation
Jun Hozumi, Matsuo Lab
2. 書誌情報
• Submitted to arXiv on 24 Nov 2017
• Yunjey Choi, Minje Choi, Munyoung Kim, Jung-Woo Ha, Sunghun
Kim, and Jaegul Choo
– Korea University, Clova AI Research, NAVER, The College of New Jersey
and Hong Kong University of Science & Technology
• 異なる複数のドメインに画像を変換することができるGAN
• Twitterで一時期話題になった
• 発想自体はシンプル(CycleGANとACGANの組み合わせ)
2特に断りのない場合、本文内の図表は本論文より引用
17. 実験1: CelebAによる生成画像のユーザ評価
• Amazon Mechanical Turk (146人)によって高評価を獲得
– “perceptual realism, quality of transfer in attribute(s), and preservation
of a figure’s original identity”という観点
17