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Hi,
I'm running the scripts of cross-id reenactment with provided demo images (pic 1). But the results I'm getting (pic 2) look suspiciously stylized. Is this simply expected results from styleGAN, or am I doing something wrong?
Thanks!
The text was updated successfully, but these errors were encountered:
Thanks for your attention. That is kind of an artifact of this framework. It mainly comes from the introduction of a post-training calibration network. The artifact will be alleviated a bit using optimizing inversion.
I am having the same problem. I tried same id and cross id, all results seem to have heavy artifact. However, the results video in https://feiiyin.github.io/StyleHEAT/ is more natural. Is there any configuration to be set to get natural results?
Hi,
I'm running the scripts of cross-id reenactment with provided demo images (pic 1). But the results I'm getting (pic 2) look suspiciously stylized. Is this simply expected results from styleGAN, or am I doing something wrong?
Thanks!
The text was updated successfully, but these errors were encountered: