Implementing a Variational Autoencoder (VAE) Series in Pytorch.
Inspired by this repository
Model List
check | model | paper | conference |
---|---|---|---|
O | VAE | Auto-Encoding Variational Bayes | ICLR 2014 |
O | CVAE | Learning Structured Output Representation using Deep Conditional Generative Models | NeurIPS 2015 |
O | AAE | Adversarial Autoencoder | ICLR 2016 |
O | Beta-VAE | β-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework | ICLR 2017 |
VQ-VAE | Neural Discrete Representation Learning | NeurIPS 2017 |
Result
TBD
Contact
If you have any question about the code, feel free to email me at [email protected]
.