Comments (4)
@SHUSHENGQIGUI could you tell me what's your input of the experiment?
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@ouguozhen i think my input is a lot of characters which have one specified font, the labels are the same characters which have different font . the model try to make the output(reconstruction) look like the label.That is , i made the transfer of font .Then ,i can input a character into the model ,the output is the character, whose font is like the label of training model.
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@SHUSHENGQIGUI Thank you for your reply! however, is it not that each input image can only contain two characters?
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The result of experiment is surprising ,so i have an question: can i use an alternative way to get the same effect, such as VAE. because my recent research is VAEs, and VAE is also a generative model., I wanna try it .
could you give me any advice? Thank you!!
can you offer me the Pretained model ? i can't download it [email protected]
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Related Issues (20)
- category embedding issue HOT 1
- Re-train the dataset with even more fonts HOT 9
- what's the parser? HOT 1
- How to carry out to keep training from lastest checkpoint
- about font2image.py HOT 1
- how to pretrain
- 如何训练 HOT 4
- 兄弟 你训练了多久 我这16g+1080ti+i7 训练了30个小时了还没出结果
- const_loss is large! 训练时const_loss太大怎么办。。。 HOT 1
- Interpolate problems HOT 1
- d_loss_real and d_loss_fake near 0 after training for some step.d_loss_real 和d_loss_fake在几次训练后都变成0 不动了 HOT 3
- category_loss is always 0
- What does the src_font and dst_font each represent?
- ask for advice HOT 1
- 有哪位大神复现了zi2zi模型,链接分享下 HOT 2
- Color Only Black ?
- why font2image fail some?
- all loss is nan
- IndexError: index out of range in self
- 报错:ValueError: cannot determine region size; use 4-item box
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