You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thank you for this great repository and we are using this for our GANs research.
I need a clarification for creating the latent space vector from our own image to feed into this model. I can able to create new image and using that image can able to adjust the different attributes using latest directions like smile, age, etc.
I tried StyleGAN-encoder package to create latent space with FFHQ model and its size is (18,512) with *.npy format. But this repository needs in the format of .txt and its length is around (512). If possible can you please help me on how can I generate the latent space for the original(our own) images which is compatible with this model(i.e. latent spaces in *.txt format without any loss in the quality of image).
Also, while we create latent space form real image using StyleGan encoder, we are facing some loss in the quality, is it because of the model or do I need to adjust any parameter in general?
Thanks in advance, looking forward you response.
The text was updated successfully, but these errors were encountered:
GunaSekhar-T
changed the title
Generating latent spaces for the our own images.
Generating latent spaces for our own images.
Nov 22, 2019
Hi @a312863063 ,
Thank you for this great repository and we are using this for our GANs research.
I need a clarification for creating the latent space vector from our own image to feed into this model. I can able to create new image and using that image can able to adjust the different attributes using latest directions like smile, age, etc.
I tried StyleGAN-encoder package to create latent space with FFHQ model and its size is (18,512) with *.npy format. But this repository needs in the format of .txt and its length is around (512). If possible can you please help me on how can I generate the latent space for the original(our own) images which is compatible with this model(i.e. latent spaces in *.txt format without any loss in the quality of image).
Also, while we create latent space form real image using StyleGan encoder, we are facing some loss in the quality, is it because of the model or do I need to adjust any parameter in general?
Thanks in advance, looking forward you response.
The text was updated successfully, but these errors were encountered: