メモ

1. ドメイントランスファー系の論文サーベイ
@

2. n NIPS2018
n A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation(UFDN)
n Image-to-image translation for cross-domain disentanglement (CDDN)
n ICML2018
n JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
n CVPR2018
n StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
n Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation(E-CDRD)
n Multimodal Unsupervised Image-to-image Translation MUNIT
n IJCAI2018
n Unpaired Multi-Domain Image Generation via Regularized Conditional GANs
n 2018
n Image-to-Image Translation with Conditional Adversarial Networks (CVPR2017 pix2pix)
n Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(ICCV2017 Cycle GAN)
n UNSUPERVISED CROSS-DOMAIN IMAGE GENERATION(ICLR2017 DTN)
n Unsupervised Image-to-Image Translation Networks (NIPS2017 UNIT)
n Learning to Discover Cross-Domain Relations with Generative Adversarial Networks(ICML2017 DiscoGAN)
n Toward Multimodal Image-to-Image Translation(NIPS2017 BicycleGAN)
n Fader Networks: Manipulating Images by Sliding Attributes(NIPS2017 FaderNetworks)

3. Joint GAN
CDDN
DiscoGAN
RegCGAN
BicycleGAN -
MUNIT
multi
modal

4. Image-to-Image Translation with Conditional Adversarial Networks (pix2pix) CVPR2017
n : ( ) ( )

5. pix2pix:
n Unet G(x)
n x y
n + || G(x) – y || L1

6. CycleGAN ICCV2017
n :

7. CycleGAN:
n G D
n G VAE
n ( )
n ( ) ( )
https://www.slideshare.net/yoheiokawa/cyclegan-88149870

8. DiscoGAN (ICML2017)
n : CycleGAN
n : CycleGAN
GAN DiscoGAN

9. Toward Multimodal Image-to-Image Translation(BicycleGAN NIPS2017)
n :
(
)
n :
n cVAE-GAN + cLR-GAN
n pix2pix
n

10. Unsupervised Image-to-Image Translation Networks (UNIT NIPS2017)
n : CycleGAN
n : CycleGAN VAE
CoGAN(nips2016)
CycleGANVAE

11. Multimodal Unsupervised Image-to-image Translation(MUNIT CVPR2018)
n : UNIT
n : → → → →

12. Unpaired Multi-Domain Image Generation via Regularized Conditional GANs (IJCAI 2018)
n :
n : CGAN VAE

13. StarGAN (CVPR2018 oral)
n : ( )
n :

14. StarGAN : adversarial loss
n VAE
n D G

15. StarGAN :
n D
n G

16. StarGAN :
n

17. Fader Networks: Manipulating Images by Sliding Attributes(NIPS 2017)
n : VAE (
)
n : Decoder
Encoder
Decoder

18. Unsupervised Cross-Domain Image Generation (DTN ICLR2017)
n :

19. DTN:
n Encoder f
n Decoder g
G GAN
D GAN

20. Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation(E-CDRD CVPR2018spotlight)
n :
n : GAN

21. A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation(UFDN NIPS 2018)
n : ( )
SOTA
n : VAE
n featurespace Fadernetwork(NIPS2017)
z Generator
n pixelspace

22. JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets (ICML 2018)
n :
n : or

23. Image-to-image translation for cross-domain disentanglement (CDDN NIPS 2018)
n :
disentangle
n : CycleGAN + nips2018 DSD