Unable to reproduce results: Generator output has only two face types

Anyone else having trouble training and reproducing example results for CelebA dataset?

After training on the CelebA dataset for 500,000 iterations, or about 33 hours, with the default settings, I had a look at the output and noticed something odd. The generated images, *_G.png, and fake images, fake.png, have only two face types in each file. Between files they were different, but in each file there are always just two distinct faces.

The same problem occurs in the interpolation tests. The output from setting --is_train=False has the same problem same problem and tries to interpolate between two distinct faces: python main.py --dataset=CelebA --load_path=CelebA_0625_080047 --use_gpu=True --is_train=False --split valid

1. Is this an example of mode collapse?
2. Is this a bug or incorrect parameter defaults?
3. Has anyone been able to reproduce the results on the README?

[luban-emc2]

I recommend you to adopt fwiffo’s advice: change --d_lr to 0.00004, change --g_lr to 0.00004, reduce --lr_update_step, (you can also set --batch_size to 4 for faster training.)

see: https://github.com/carpedm20/BEGAN-tensorflow/issues/1

[zacharynevin]

@duduheihei The z input does change. tf.random_normal changes every time sess.run is called (https://github.com/carpedm20/BEGAN-tensorflow/blob/master/trainer.py#L143).