Open CiciBEASTARS opened 1 year ago
Thank you for your interest in our work! I will look into it by early next month :)
Same problem, is it solved now please?
Same problem, is it solved now please?
Haven't solved it yet.
Same problem occurred
Hi all, I am sincerely sorry for the late update! I will only be able to work on it during the year-end holidays. I will update you guys here.
I tried to manually set the style_id in the main.py
code (as shown in the following screenshot),
Following are example generated images I got:
style_id = 0
style_id = 1
style_id = 2
style_id = 3
style_id = 4
style_id = 5
Hi All,
The bug has been fixed. Sorry for the late response.
Best, Junzhe
Hi All,
The bug has been fixed. Sorry for the late response.
Best, Junzhe
Thanks for your update! I have run the new code and the correct result appeared. However, for some styles, there are still some artifacts. For example, style_id 2 and 4, as shown below:
Is this normal?
Thanks for your wonderful work!!! I download the pre-trained models
latest.pth
andlatents_eval_50k.pth
from the Google drive link you provided, and run the command below:python main.py \ --jobname author_release --latents_eval latents_eval_50k.pth \ --exp_mode visualize_video --n_styles 11 --num_frames 250 \ --given_subject_list 1000-1010 --style_id 7
However, I found the generated source and stylized images really weird, the 1000_source.png is like this: and the stylized image with style_id = 1 :
Do u know where might the problem be? Am I missing something, or is there anything wrong with the pre-trained checkpoints? Really looking forward to your reply! Thanks in advance!
Where can I download the pre-training model latest.pth and latents_eval_50k.pth provided by the author?
Thanks for your wonderful work!!! I download the pre-trained models
latest.pth
andlatents_eval_50k.pth
from the Google drive link you provided, and run the command below:python main.py \ --jobname author_release --latents_eval latents_eval_50k.pth \ --exp_mode visualize_video --n_styles 11 --num_frames 250 \ --given_subject_list 1000-1010 --style_id 7
However, I found the generated source and stylized images really weird, the 1000_source.png is like this: and the stylized image with style_id = 1 :
Do u know where might the problem be? Am I missing something, or is there anything wrong with the pre-trained checkpoints? Really looking forward to your reply! Thanks in advance!