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Variational
Autoencoders (VAE)
Kingma and Welling
[1312.6114]
Generative Adversarial
Networks (GA...](https://image.slidesharecdn.com/generativemodeling-alec-160321095536/75/Deep-Advances-in-Generative-Modeling-6-2048.jpg?cb=1668120852)
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from Kingma and Welling [1312.6114]
● Theoretically elegant autoencoder
● Straightforward to imple...](https://image.slidesharecdn.com/generativemodeling-alec-160321095536/75/Deep-Advances-in-Generative-Modeling-7-2048.jpg?cb=1668120852)
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from Kingma et al. [1406.5298]
Semi-Supervised Learning
from Gregor et al. [1502.04623]
DRAW](https://image.slidesharecdn.com/generativemodeling-alec-160321095536/75/Deep-Advances-in-Generative-Modeling-10-2048.jpg?cb=1668120852)
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Luke Metz Soumith ChintalaAlec Radford
tl;dr add more layers
indico indico FA...](https://image.slidesharecdn.com/generativemodeling-alec-160321095536/75/Deep-Advances-in-Generative-Modeling-12-2048.jpg?cb=1668120852)
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![DCGAN Architecture tricks
No fully connected layers
Batch Normalization Ioffe and Szegedy [1502.03167]
Leaky Rectifier in ...](https://image.slidesharecdn.com/generativemodeling-alec-160321095536/75/Deep-Advances-in-Generative-Modeling-14-2048.jpg?cb=1668120852)
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from Larsen et. al [1512.09300] from Larsen et. al [1512.09300]](https://image.slidesharecdn.com/generativemodeling-alec-160321095536/75/Deep-Advances-in-Generative-Modeling-24-2048.jpg?cb=1668120852)
![Hybridizing VAEs and GANs (best of both worlds?)
from Larsen et. al [1512.09300] from Larsen et. al [1512.09300]](https://image.slidesharecdn.com/generativemodeling-alec-160321095536/75/Deep-Advances-in-Generative-Modeling-25-2048.jpg?cb=1668120852)
