stylegan-encoder issues

Results 37 stylegan-encoder issues

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Basic Usage Question

I apologize if I overlooked it and if this isn't an "issue", but I couldn't find any basic steps/commands needed to reproduce the change in expression found in the teaser...

mlstudent2

shape (1, 12, 512) to (1, 18, 512)?

how can I create stylegan model with (1, 18, 512) my stylegan model is creating shape (1, 12, 512) and I cannot find the latent space developed by Puzer because...

ahmedshingaly

Join Stylegan encoder research

Dear Puzer, I am currently working on stylegan encoder for architecture design opportunities. I was wondering how can I join your research lab and collaborate with you guys. I am...

ahmedshingaly

**Facing this error** Traceback (most recent call last): File "encode_images.py", line 80, in main() File "encode_images.py", line 53, in main generator = Generator(Gs_network, args.batch_size, randomize_noise=args.randomize_noise) File "/content/gdrive/My Drive/RI/stylegan-encoder/encoder/generator_model.py", line 35,...

SrikarNamburu

Interpolation between 2 faces in dlatent space not as meaningful as it is in qlatent space

Hi! First, thanks for your work! I tried to interpolate between 2 faces in the dlatent space (18, 512) and the result seems to be not as meaningful as it...

stas-sl

why optimize dlatent rather than qlatent?

The dimensionality is dlatent is 9x larger, sampling isn't as simple, interpolations are worse, and mapping to smile directions for example needs more data.

jcpeterson

Question about the direction for an attribute

Does this only work for binary labels, like smile vs. no-smile or male vs. female? Or is it possible to do it for multi-class labels like ethnicity (ie. white, black,...

chensteven

I am trying to obtain the same result with pytorch.

I did the encoding like the author of this github has mentioned. VGG = Perceptual model G = Generator model G.style() is the fully connected encoder in generator which gives...

nile649