Generative adversarial network presentation which presented by Mohammad khalooei on Friday, 22 December 2017 at Tehran. http://ceit.aut.ac.ir/~khalooei/

1. Generative Adversarial Network
Mohammad KHalooei
PhD student at Amirkabir University of Technology- Tehran Polytechnic
Laboratory of Intelligence and multimedia processing (limp.aut.ac.ir)
Big data work group at Sharif University of Technology (bigdataworkgroup.ir)
http://ceit.aut.ac.ir/~khalooei
khalooei@aut.ac.ir
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 20171
Dec 2017

2. Brief Review of GAN architecture
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017
https://mlnotebook.github.io/post/GAN1/
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3. Vector space arithmetic
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4. Vector space arithmetic
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5. Conditional Generative Adversarial Network
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6. Deep convolutional generative adversarial network (DCGAN)
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https://github.com/carpedm20/DCGAN-tensorflow
https://carpedm20.github.io/faces/

7. DCGAN
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017
Fei-Fei Li Stanford 2017
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8. Results from DCGANs
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9. 2017 : Year of the GAN
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10. iGAN
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017
https://github.com/junyanz/iGAN
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11. Invertible Conditional GANs for image editing
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017
Perarnau et 2016
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12. Invertible Conditional GANs for image editing
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017
Perarnau et 2016
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13. Image to Image translation
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201713
https://phillipi.github.io/pix2pix/

14. Image-to-Image Translation with CGAN
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017
https://phillipi.github.io/pix2pix/
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15. Image-to-Image Translation with CGAN
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017
https://phillipi.github.io/pix2pix/
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16. Image-to-Image Translation with CGAN
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017
https://phillipi.github.io/pix2pix/
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17. Image-to-Image Translation with CGAN
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017
Cycle GAN
F(G(X)) ≈ X
G: X → Y
F: Y → X
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18. Image to Image translation
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19. Text to Image
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20. Unsupervised cross-domain image generation
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017
Taigman et al 2016
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21. Unsupervised cross-domain image generation
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017
Taigman et al 2016
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22. Denoising GAN
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23. Denoising GAN
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017
g_cost_d + enc_cost * X
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https://www.cc.gatech.edu/~hays/7476/projects/Avery_Wenchen

24. Super resolution (SRGAN)
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https://github.com/zsdonghao/SRGAN

25. Super resolution (SRGAN)
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26. High-Resolution Image Synthesis and Semantic
Manipulation with Conditional GANs
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https://tcwang0509.github.io/pix2pixHD/

27. High-Resolution Image Synthesis and Semantic
Manipulation with Conditional GANs
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https://tcwang0509.github.io/pix2pixHD/

28. High-Resolution Image Synthesis and Semantic
Manipulation with Conditional GANs
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https://tcwang0509.github.io/pix2pixHD/

29. MoCoGAN: Decomposing Motion and Content for
Video Generation
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https://github.com/sergeytulyakov/mocogan

30. MoCoGAN: Decomposing Motion and Content for
Video Generation
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https://github.com/sergeytulyakov/mocogan

31. RECURRENT CONDITIONAL GANS (RCGAN)
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https://arxiv.org/pdf/1706.02633.pdf

32. Pre-trained unified features
Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017
• Pre-trained and shipped on mobile chip as default
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33. Issues
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34. WGAN
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http://tsong.me/blog/wasserstein-gan/

35. LSGAN
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36. Conclusion
• GANs are generative models
• that use supervised learning
• to approximate an intractable cost function
• GANs can simulate
• many cost functions
• including the one used for maximum likelihood
• Finding Nash equilibria is an important open research problem
• high-dimensional
• Continuous
• nonconvex games
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Fei-Fei Li Stanford 2017

37. Brief review of GAN
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Fei-Fei Li Stanford 2017

38. Thank you!
Mohammad KHalooei
PhD student at Amirkabir University of Technology- Tehran Polytechnic
Laboratory of Intelligence and multimedia processing (limp.aut.ac.ir)
Big data work group at Sharif University of Technology (bigdataworkgroup.ir)
http://ceit.aut.ac.ir/~khalooei
khalooei@aut.ac.ir
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