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kozistr committed Oct 12, 2020
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28 changes: 7 additions & 21 deletions awesome_gans/wgan/readme.md
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# Wasserstein Generative Adversarial Networks

## Loss Function

* used ``sce loss`` at D/G nets.
* used ``gradient penalty``

## Architecture Networks

* Same with the WGAN paper.

*DIFFS* | *WGAN Paper* | *ME* |
:---: | :---: | :---: |
**Networks** | ``Resnet like`` | ``simple 4 conv nets`` |
* Same with the `WGAN` paper.

## Tensorboard

![result](./wgan_tb.png)

> Elapsed time : 1h 7m 7s with ``GTX 1060 6GB x 1``
| *Difference* | *Paper* | *Mine* |
| :---: | :---: | :---: |
| **Networks** | ``ResNet like`` | ``simple 4 conv nets`` |

## Result

*Name* | *Global Step 10k* | *Global Step 25k* | *Global Step 50k*
:---: | :---: | :---: | :---:
**WGAN-GP** | ![img](./gen_img/train_00010000.png) | ![img](./gen_img/train_00025000.png) | ![img](./gen_img/train_00050000.png)

## To-Do
*
*Name* | *Epoch 1* | *Epoch 20* | *Epoch 1 ~ 35* |
:---: | :---: | :---: | :---: |
**WGAN** | ![img](outputs/1.png) | ![img](outputs/20.png) | ![gif](outputs/1-35.gif) |
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