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Simple Tensorflow implementation of Triple Generative Adversarial Nets (NIPS 2017)

TripleGAN-Tensorflow

Simple Tensorflow implementation of Triple Generative Adversarial Nets(Triple-GAN)

If you want to see the original author's code, please refer to this link

Issue

  • I am now modifying the weight normalization (If you know how to implement with tensorflow, let me know)

Usage

> python main.py --n 4000 --epoch 1000 --batch_size 20 --unlabel_batch_size 250 --z_dim 100
  • See main.py for other arguments.

Idea

Network Architecture

network

Algorithm

algorithm

Result

Classification result

c_result

Convergence speed on SVHN

s_result

My result (Cifar10, 4000 labelled image)

Loss

loss

Classification accuracy

accuracy

Generated Image (Other images are in assests)

Automobile

automobile

Related works

Reference

Author

Junho Kim