Conditional Generative Adversarial Networks

This repository implements an extension of the Generative Adversarial Network to a conditioned setting. For more information, see the paper included in this repository.

The code in this repository is based on the code released in the paper:

"Generative Adversarial Networks." Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio. ArXiv 2014.

Name		Name	Last commit message	Last commit date
Latest commit History 168 Commits
conditional		conditional
data/lfwcrop_color		data/lfwcrop_color
lfw		lfw
models		models
sampler		sampler
tests		tests
tfd_pretrain		tfd_pretrain
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
__init__.py		__init__.py
datasets.py		datasets.py
deconv.py		deconv.py
distributions.py		distributions.py
ll.py		ll.py
paper.pdf		paper.pdf
parzen_ll.py		parzen_ll.py
show_gen_weights.py		show_gen_weights.py
show_samples.py		show_samples.py
train_extensions.py		train_extensions.py
util.py		util.py

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bertomartin/adversarial

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Conditional Generative Adversarial Networks

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