zpdesu / ii2s Goto Github PK

Great work, I'm wondering is it reasonable to choose the latent_p_norm as the initial latent to optimizing?

First of all, thank you for presenting this marvelous work.

I have some questions to consult that,

1. Does your inverted embedding belong to W+ space? In another word, can the saved latent code be directly used as the input of a StyleGAN2 model?
2. How many iterations does it take to generate a roughly accurate reconstruction result? As 1300 iterations on 1024 resolution is sometimes too slow.
3. Is it possible to embed a batch of images at the same time?

Thank you very much!

I'm curious how to get Fig1 in the article. After using tsne for visualization, I find that the pairwise distributions of different latent spaces are circular and.

good job first, and does the value of *_PCA.npz need for update for our own trained stylegan?

Hi, many thanks for releasing the code!
Unfortunately it does not work. After some debugging I figured it's stuck during PCA decomposition. And if I reduce the number of generated latents to the reasonable extent (1k-10k) there is just segmentation fault

I can see PCA's are available in the repo for main checkpoints, but I need that for my custom checkpoint

Hi, thank you for your wonderful work.
I have a question about your paper in Section 4.1. You purpose 3 versions to employ the embedding, and mentioned that you will explain why only focuses on Equation 9 in supp. However, I haven't found a related explanation. Could you tell me the reason?

Looking forward to your reply!