Closed Dratlan closed 1 month ago
I just uses StyleGAN and Toonify to generate paired data from the same latent w and put most of them into data/train/pixar/trainA/ and data/train/pixar/trainB/, and part of them data/train/pixar/testA/ and data/train/pixar/testB/
left three images are toonify_in, right three images are toonify_out
I just uses StyleGAN and Toonify to generate paired data from the same latent w and put most of them into data/train/pixar/trainA/ and data/train/pixar/trainB/, and part of them data/train/pixar/testA/ and data/train/pixar/testB/
left three images are toonify_in, right three images are toonify_out
I just uses StyleGAN and Toonify to generate paired data from the same latent w and put most of them into data/train/pixar/trainA/ and data/train/pixar/trainB/, and part of them data/train/pixar/testA/ and data/train/pixar/testB/
left three images are toonify_in, right three images are toonify_out
Thanks for your quick reply. I got one more question, for hair edit in this paper, it mainly changes the color, can i remove/change/enrich Hair from Portraits? or for a new attribute, how can i find its related edit_w
You should refer to the related StyleGAN-based editing method like InterFaceGAN or LowRankGAN.
Thanks
Thanks for your great work. what's the data organization in video toonify(eg, what's in 'toonify_in': 'data/train/pixar/trainA/'), and other style like arcane, comic, cartoon, ukyio,etc. The toonify dataset in my download was not organized. thank you for your reply