Anime Colorization Paper steps

1. Anime Colorizations
With GAN

2. 채색은 귀찮은 법…

3. Colorization – Guided auto 채색

4. Colorization – Guided auto 채색
https://richzhang.github.io/ideepcolor/

5. 그래도 오늘은…

6. 사실은… Style Transfer
https://harishnarayanan.org/writing/artistic-style-transfer/

7. cGAN-based Manga Colorization
Using a Single Training Image
https://arxiv.org/pdf/1706.06918v1.pdf

8. cGAN – conditional GAN
https://arxiv.org/pdf/1411.1784.pdf

9. cGAN – conditional GAN

10. And… NOGADA

11. I WANT “End-to-End”

12. Style Transfer for Anime Sketches
with Enhanced Residual U-net and Auxiliary Classifier GAN
https://arxiv.org/abs/1706.03319

13. 시작부터 Result
채색이 잘된다는 의미…

14. Model

15. Model – residual U-net Why guide decoder

16. Model – residual U-net

17. Training – modified AC-GAN
Output style == VGG 19’s fc1
(4096 output)
Discriminator == DCGAN’s
다음 장은 빨간 불입니다. 넘기시기 전에 후방 주의

18. Blurs…

20. Further : Stack… GAN?

21. 마무리 말…
진짜임 ㅇㅇ