My final slides

1. Deep Convolutional Generative Adversarial Networks (DCGANs) for Creating Pixel Art
Lawrence Du

2. Creating art for mobile apps takes skill and money

3. Problem: The Costs of Making Art for Indie/Mobile Games
Total cost of adding one new character: $109,000
Artwork cost: $30,000

4. Problem: The Costs of Making Art for Indie/Mobile Games
Total cost of adding one new character: $109,000
Artwork cost: $30,000

5. Deep Learning for AI assisted art generation
Fake pictures of bedrooms created by deep neural network

6. One franchise built around pixel art...
Pokémon Red (released 1998)

7. Using Pokémon as a training set
● 64 x 64 x 3 pixels = 12,228 features per image
● 700+ Unique Pokémon
● 76,000+ animation frames

8. Feature engineering with images
● database used for classifying appropriate images
● 231 Pokémon selected (19,231 frames)
● Expansion of training set size:
○ Brightness
○ Hue
○ Contrast
○ Left-right transformations.

9. DEMO
www.DeepPixelMonster.com
(TRY IT YOURSELF)

10. Implementation
● Written using
● 30+ neural architecture combinations tested.
● Training takes 20-30 minutes on GPU
● Front-end Python
● Amazon AWS

11. Implementation
DISCRIMINATOR
GENERATOR

12. Network Balancing
DISCRIMINATOR
LOSS
GENERATOR
LOSS

15. ● LINE messenger - $238 million on stickers in 2015
● Easier to send a sticker than to write Chinese characters (kanji)
Additional use cases for AI pixel art

16. Lawrence Du
larrydu88@gmail.com
PhD Biological Sciences (UC San Diego)

17. Solution: Use Deep Learning for AI assisted art generation
AI generated music album covers