Open shiliang26 opened 1 year ago
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?
![Snipaste_2023-05-19_22-18-51](https://github.com/FeiiYin/StyleHEAT/assets/42669293/f5c367df-6af2-414c-8845-99d7dd80c191)
Thanks!