and the true image, to see the difference
See Thoughts.md
- Finish generating embeddings
- Reduce learning rate before overfitting
- Add decaying dropout to the training
- Is DRAW outdated based on GAN recent results... DRAW architecture were every iteration is condition on previous generated images + new caption?
- Better data augmentation
- Make GAN works, whether WGAN or classical ones
- Refactor the code
- Try to generate "HD" images, like in StackGAN (need to retrieve from MS-COCO for supervised learning)
- Used ideas from there: