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Generative Adversarial Networks - (Applications)
- 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/ 2
- 3. Vector space arithmetic Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 20173
- 4. Vector space arithmetic Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 20174
- 5. Conditional Generative Adversarial Network Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 20175
- 6. Deep convolutional generative adversarial network (DCGAN) Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 20176 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 7
- 8. Results from DCGANs Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 20178
- 9. 2017 : Year of the GAN Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 20179
- 10. iGAN Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017 https://github.com/junyanz/iGAN 10
- 11. Invertible Conditional GANs for image editing Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017 Perarnau et 2016 11
- 12. Invertible Conditional GANs for image editing Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017 Perarnau et 2016 12
- 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/ 14
- 15. Image-to-Image Translation with CGAN Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017 https://phillipi.github.io/pix2pix/ 15
- 16. Image-to-Image Translation with CGAN Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017 https://phillipi.github.io/pix2pix/ 16
- 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 17
- 18. Image to Image translation Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201718
- 19. Text to Image Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201719
- 20. Unsupervised cross-domain image generation Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017 Taigman et al 2016 20
- 21. Unsupervised cross-domain image generation Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017 Taigman et al 2016 21
- 22. Denoising GAN Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201722
- 23. Denoising GAN Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 2017 g_cost_d + enc_cost * X 23 https://www.cc.gatech.edu/~hays/7476/projects/Avery_Wenchen
- 24. Super resolution (SRGAN) Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201724 https://github.com/zsdonghao/SRGAN
- 25. Super resolution (SRGAN) Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201725
- 26. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201726 https://tcwang0509.github.io/pix2pixHD/
- 27. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201727 https://tcwang0509.github.io/pix2pixHD/
- 28. High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201728 https://tcwang0509.github.io/pix2pixHD/
- 29. MoCoGAN: Decomposing Motion and Content for Video Generation Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201729 https://github.com/sergeytulyakov/mocogan
- 30. MoCoGAN: Decomposing Motion and Content for Video Generation Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201730 https://github.com/sergeytulyakov/mocogan
- 31. RECURRENT CONDITIONAL GANS (RCGAN) Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201731 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 32
- 33. Issues Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201733
- 34. WGAN Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201734 http://tsong.me/blog/wasserstein-gan/
- 35. LSGAN Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201735
- 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 Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201736 Fei-Fei Li Stanford 2017
- 37. Brief review of GAN Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201737 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 Mohammad khalooeiGenerative Adversarial Network - Tehran - Dec 201738