Overview of important ideas in Generative Adversarial Networks world. Plus some new approaches in image generation.

1. Generative Adversarial Networks
key ideas
by Vitaly Bondar

2. Generative Adversarial Networks
“I came up with this idea in a bar in Montreal, Canada
called "Three Winemakers." Ian Goodfellow

3. Generative Adversarial Networks

4. Generative Adversarial Networks
Generative Something else

5. Generative Adversarial Networks
Generator Discriminator / Critic

6. Generative Adversarial Networks

7. GANs: Losses

8. GANs: WGAN

9. GANs: Relativistic losses

10. GANs: Relativistic losses

11. GAN Critic penalties
WGAN-GP Local Penalty (DRAGAN)
R1/R2
Any auxiliary target!

12. GAN architectures: DCGAN

13. GAN architectures: pix2pix (~vid2vid)

14. GAN architectures: CycleGAN

15. GAN architectures: BigGAN

16. GAN architectures: BigGAN (fun) results

17. GAN architectures: Progressive GAN

18. GAN architectures: StyleGAN

19. GAN architectures: StyleGAN noise effect

20. GAN architectures: StyleGAN truncation trick

21. New ideas: TransGAGA

22. New ideas: BMSG-GAN

23. New ideas: COCO-GAN

24. New ideas: AEGAN

25. GANs: applications

26. GANs: applications

27. GANs: applications

28. GANs: applications

29. GANs: applications

30. GANs: tricks
● ReLU -> LeakyRELU
● MaxPool -> AvgPool or Conv+stride
● Upsampling -> Deconvolution, PixelShuffle
● Use additional data if you have it
● Averaged generator

31. Do you want to work with GANs everyday?
Send your CV to vb@gainee.com