Low quality results by using pretrained model 256 on celebA dataset

[Yummy2016]

I'm using 256*256 model to test some pictures in celebA dataset, arguments are set as:

python main.py --mode test --dataset CelebA --image_size 256 --c_dim 5
--selected_attrs Black_Hair Blond_Hair Brown_Hair Male Young
--model_save_dir='stargan_celeba_256/models'
--result_dir='stargan_celeba_256/results'

However, the results' quality are far from the results posted on the paper. The faces are blurring and not changed that much on expressions or other selected attributes.

Are there any places that I need to tune to get the results with the same quality that the paper posted?

Thank you!

[07hyx06]

I got the same bad result.....Do you solve it?

[Yummy2016]

no.....

…

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[07hyx06]

no.....
…
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I tried 128*128 pretrained model, its behavior is the same as paper.....

[Yummy2016]

yes, 128*128 is better than 256*256. not sure what's the reason...

[fangxuehouwuming]

Do you solve it?

[yyyoite]

Me too