(Work in Progress) Based on "Unsupervised crossdomainimagegeneration"

1. (Unsupervised Cross-Domain Image Generation)
Takao Ikoma

2. ▸ : ?
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▸ Facebook AI Research:
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▸ Stanford Univ:
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▸ : Pytorch Chainer

3. ▸ GAN
f
Discriminator
Generator

4. Discriminator
Generator(Autoencoder)
f
g
f
DG

5. ▸ API(bitmoji)
100
▸
etc.

6. ▸
▸ ms-celeb-1m( 180 )

7. Encoder
▸ Facebook Deepface ( )
▸ SphereFace, Openface
▸ Sphereface
▸ 512
▸ caffemodel
▸ caffemodel chainer
▸ encoder

8. ▸ Generator Loss Function
▸ Discriminator Loss Function
▸

9. ▸
▸
▸
▸
▸

10. Discriminator
Generator(Autoencoder)
f g
f
DG

11. ▸

12. ▸ ?????

13. ‣ Y. Taigman, A. Polyak, L. Wolf, “Unsupervised Cross-Domain Image Generation”
‣ arXiv preprint arXiv:1611.02200 (2016).
‣ Xinru Hua, Davis Rempe, and Haotian Zhang, “Unsupervised Cross-Domain Image
Generation”
‣ http://cs229.stanford.edu/proj2017/final-reports/5241608.pdf
‣ Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song, SphereFace:
Deep Hypersphere Embedding for Face Recognition
‣ https://arxiv.org/abs/1704.08063
‣ An example implementation of DCGAN (https://arxiv.org/abs/1511.06434) using
trainer.
‣ https://github.com/chainer/chainer/tree/master/examples/dcgan