junzhezhang / DeformToon3D

Official code release for DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields (ICCV 2023)
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Undesired generated results #1

Open CiciBEASTARS opened 1 year ago

CiciBEASTARS commented 1 year ago

Thanks for your wonderful work!!! I download the pre-trained models latest.pth and latents_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: 1000_source and the stylized image with style_id = 1 : 100000_source

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!

junzhezhang commented 1 year ago

Thank you for your interest in our work! I will look into it by early next month :)

2680347338 commented 11 months ago

Same problem, is it solved now please?

CiciBEASTARS commented 11 months ago

Same problem, is it solved now please?

Haven't solved it yet.

PeizhiYan commented 11 months ago

Same problem occurred

junzhezhang commented 11 months ago

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.

PeizhiYan commented 11 months ago

I tried to manually set the style_id in the main.py code (as shown in the following screenshot),

image

Following are example generated images I got:

style_id = 0

image

style_id = 1

image

style_id = 2

image

style_id = 3

image

style_id = 4

image

style_id = 5

image
junzhezhang commented 10 months ago

Hi All,

The bug has been fixed. Sorry for the late response.

Best, Junzhe

heeeyk commented 10 months ago

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: image image

Is this normal?

Xia-zx commented 6 months ago

Thanks for your wonderful work!!! I download the pre-trained models latest.pth and latents_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: 1000_source and the stylized image with style_id = 1 : 100000_source

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?