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Thank you very much for your work, I am very interested in this, but I would like to ask whether there are experiments to prove that this model can be applied to handwritten generation?
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Hi
I want to use the pretrained model for conditional handwriting generation. I tried to understand the evaluation file in an effort to make an inference file where I can give some text and can obtai…
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作者您好,我想询问您一下发布的预训练模型是只在 CASIA-OLHWDB (1.0-1.2)上训练吗,论文里写的在测试集 ICDAR-2013 抽80%训练是什么意思呀,是另一个实验设置吗?谢谢您!
To demonstrate the superiority of the proposed offline-to-offline handwriting generation framework,…
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I found that the unet parameters in anytext_sd15_scratch.ckpt(from sd1.5) and anytext_v1.1.ckpt are not the same. Have you ever pretrained the vae or unet in anytext_v1.1.ckpt?If so, which contradicts…
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Hey I'm trying to get sort of a minimum working example of your project running so I can better understand what's going on by running generate.py on the pre-trained snapshots which you provided.
`p…
Mesil updated
2 years ago
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```
Traceback (most recent call last):
File "sample.py", line 3, in
import model as m
File "/home/antonkulaga/rnn-handwriting-generation/model.py", line 3, in
from utils import vect…
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I wonder if it's reasonable to try and fine-tune TextDiffuser on handwriting generation instead of digital text.
Has anyone tried this so far?
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I have read your article [GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images](https://arxiv.org/abs/2003.02567) and your code, and I am confused about how to calculate the FI…
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@ankanbhunia
While you mention:
"You can train the model in any custom dataset other than IAM and CVL. The process involves creating a dataset_name.pickle file and placing it inside files folder.…
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We can get it from Kratarth's repo - unless you forgot to include the files and have them locally