Closed enisimsar closed 2 years ago
I got the same question
Hi,
Thank you for your attention.
You can tune the truncation
hyperparameter of GANs.
By the way, one way to improve generation quality is to regularize 3D shapes. I am currently training new models and will release code and models when the effect is stable.
I got the same question
I think the reason for the poor generation effect is the poor quality of the underlying 3D shape. I am working to solve this problem.
Does truncation
correspond to psi
? @PeterouZh
Does
truncation
correspond topsi
? @PeterouZh
Yes.
It's better now, psi=0.45
Thanks!
Hello,
Thanks for sharing your source code and pre-trained weights. I am trying to generate high-quality images from FFHQ pre-trained model. However, the quality of generated images is not as good enough as stated in the paper. I could not reproduce the results.
I am using the pre-trained weights from here https://github.com/PeterouZh/CIPS-3D/releases/tag/v0.0.2
The command I tried:
python exp/cips3d/scripts/sample_images.py --tl_config_file exp/cips3d/configs/ffhq_exp.yaml --tl_command sample_images
Generated images:
Do you have any idea regarding the problem?