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https://github.com/jiamings/cramer-gan
Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
https://github.com/jiamings/cramer-gan
cramer-gan generative generative-adversarial-network generative-model tensorflow tensorflow-experiments tensorflow-models wasserstein-gan
Last synced: about 21 hours ago
JSON representation
Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
- Host: GitHub
- URL: https://github.com/jiamings/cramer-gan
- Owner: jiamings
- Created: 2017-05-31T23:45:07.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2017-12-10T21:02:24.000Z (almost 7 years ago)
- Last Synced: 2024-11-12T17:03:04.319Z (about 21 hours ago)
- Topics: cramer-gan, generative, generative-adversarial-network, generative-model, tensorflow, tensorflow-experiments, tensorflow-models, wasserstein-gan
- Language: Python
- Homepage:
- Size: 220 KB
- Stars: 125
- Watchers: 7
- Forks: 24
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## Cramer GAN
Another recent member in the GAN family!
Seems to be an improvement over Improved WGAN (Improved^2 GAN)?
To run an example for MNIST generation:
```
python cramer-gan.py
```This is a modification of Improved WGAN, where the losses are changed according to the following:
![](cramer.png)