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O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks
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README.md
o_gan_celeba.py
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o_gan_lsun.py Update o_gan_lsun.py Mar 17, 2019

README.md

o-gan

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

Requirement

Python 2.7 + Tensorflow 1.8 + Keras 2.2.4

Results

  • CelebA HQ
    CelebA HQ线性插值.jpg

  • FFHQ
    FFHQ线性插值.jpg

  • LSUN-church
    LSUN-church线性插值.jpg

  • LSUN-bedroom
    LSUN-bedroom线性插值.jpg

Reference

https://kexue.fm/archives/6409

https://arxiv.org/abs/1903.01931

Cite

@article{su2019gan,
 title={O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks},
 author={Su, Jianlin},
 journal={arXiv preprint arXiv:1903.01931},
 year={2019}
}```
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