quality on stylegan_ffhq about interfacegan

[IQ17]

Thanks! Using the solution 1, the results are good!

[ShenYujun]

How about setting --latent_space_type=w, since you are using the boundary from W space.

[IQ17]

Yes, I tried with --latent_space_type=w or --latent_space_type=W but the outputs are not face anymore.

[IQ17]

I use stylegan_ffhq to generate the images, and the generated images are great. Thus I think the model is correct.

[ShenYujun]

That is because the current codebase will randomly sample w codes subject to Gaussian distribution instead of the actual distribution. There are basically two solutions
(1) Run generate_data.py first, which will save w.npy in the output folder. Then use -i option in edit.py to load the generated w codes.
(2) See HiGAN which provides a more robust generator, which will sample codes from the actual distribution.