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gan_lib_tensorflow's Introduction

GAN_Lib_Tensorflow

Tensorflow implemention of various GAN.

Please refer to corresponding folder for more details.

Prerequisite

  • Python 3.5.4
  • TensorFlow 1.5
  • Numpy
  • Scipy

Quantitative evaluation

Method Inception (This repo) Inception (Official) FID
Real data 12.0 11.24 3.2 (train vs test)
PGGAN - 8.80 ± 0.05 (-, Unsupervised) -
SNGAN 8.43 ± 0.12 (ResNet, Supervised) 8.24 ± 0.08 (ResNet, Unsupervised) -
ACGAN 7.86 ± 0.09 (ResNet, Supervised) 8.25 ± 0.07 (-, Supervised) -

Inception scores are calculated by average of 10 evaluation with 5000 samples.

TODO

  • FID

  • MS-SSIM

Generated images

  • SNGAN

    sample

  • ACGAN

    sample

Reference

gan_lib_tensorflow's People

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gan_lib_tensorflow's Issues

How to use in 3D conv?

The paper and the code are both for the 2D convolution of the sn limit w, then how to deal with w in the 3D convolution?

Projection discriminator

Hello,

Do you have an idea of how to use Embed_Id layer in tensorflow for projection discriminator?

Thanks,
Ansh

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