這是在Tainan.py X MOUST中分享有關於Fast Neural Style的投影片

1. Fast Neural Style
Sam Lee
2017.5.20 Tainan.py X MOUST

2. GAN
開始之前需要知道的東東
先講一下很潮的 Deep Learning

3. Fully-Connected Network

4. http://deeplearning.stanford.edu/wiki/index.php/Feature_extraction_using_convolutio
Convolution and Pooling

5. Convolutional Neural Network
http://www.cc.gatech.edu/~hays/compvision/proj6/

6. VGG
https://www.cs.toronto.edu/~frossard/post/vgg16/

7. Neural Style Transfer
聽說電腦不只會揀土豆，還會作畫 ?

8. Images from: https://github.com/lengstrom/fast-style-transfer
Styler Transfer

9. A Neural Algorithm of Artistic Style
https://arxiv.org/abs/1508.06576
Leon A. Gatys, Alexander S. Ecker, Matthias Bethge
Sep 2015

10. by Mark Chang
Styler Transfer

11. Styler Transfer
by Mark Chang

12. Image from: A Neural Algorithm of Artistic Style (Gatys et.)
Layers

13. +
Demo
To see gif
https://github.com/misgod/fast-neural-style-keras/blob/master/slide/demo.gif

14. 這這 ......
看起來一點都不智慧看起來一點都不智慧
而且速度很慢吧而且速度很慢吧

15. GAN
Generative Adversarial Networks
人工智慧也能「無中生有」嗎 ?

16. ICLR-2017 提交論文： 45 篇產生式模型相關， 37 篇與對抗訓練相關；
NIPS-2016 ：在會議大綱中 GAN 被提及超過 120 次；
同時，會議專門針對“ Adversarial Training” 組織了一個 workshop ，收錄
了 32 篇文章，絕大多數與 GAN 直接相關；此外，正會還收錄了 17 篇產生式
模型相關文章， 11 篇對抗訓練相關文章；
Arxiv ：在 Computer Science 分類下約有 500 篇與對抗網絡相關文章，其
中絕大多數為 2016 年的工作；
資料來源 : GAN模型及其在2016年度的进展
火紅的 GAN

17. Generative Adversarial Networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, et.
Jun 2014
https://arxiv.org/abs/1406.2661

18. 圖片來源
GAN

19. GAN

20. Unsupervised Representation Learning with Deep
Convolutional Generative Adversarial Networks
Alec Radford, Luke Metz, Soumith Chintala
Jan 2016
https://arxiv.org/abs/1406.2661

21. DCGAN

22. DCGAN

23. DCGAN

24. DCGAN

25. https://deephunt.in/the-gan-zoo-79597dc8c347
The GAN Zoo
•
GAN
•
DCGAN
•
InfoGAN
•
WGAN
•
WGAN-GP
•
...

26. GAN
Fast Neural Style
GAN+Style Transfer = Fast Neural Style

27. Perceptual Losses for Real-Time Style Transfer and
Super-Resolution
Johnson, Justin and Alahi, Alexandre and Fei-Fei, Li
Mar 2016
https://arxiv.org/abs/1603.08155

28. Model

29. Image Transform Net

30. Instance Normalization: The Missing Ingredient for
Fast Stylization
Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky
Sep 2016
https://arxiv.org/abs/1607.08022

31. Instance Normalization
Batch Normalization
Instance Normalization

32. Instance Normalization

33. 圖片來源 :https://github.com/titu1994/Fast-Neural-Style
實作坑 - Border Artifact
•
Remove zero-padding
•
Add ReflectionPadding in
Input, so input & output
have same size

34. http://distill.pub/2016/deconv-checkerboard/
實作坑 - Checkerboard Artifacts
•
switching deconvolutional
layers for resize-
convolution layers

35. GAN
Demo
來看看成果吧 ...
程式碼 https://github.com/misgod/fast-neural-style-keras

36. Demo

37. Demo

38. Demo

39. Demo

40. Demo

41. Demo

42. Demo