Comments (5)
We will not answer our code line by line. I feel your questions are very rude, without trying to understand our paper and code. I will close all the trivial issues that are well explained in our paper and code.
from mxfont.
No, it's because I'm a beginner. I've read it many times but I can't understand. If you feel rude, I'm sorry
from mxfont.
If you feel that my question is very rude and my intelligence is not enough, I'm sorry, I won't ask the question anymore. Thank you
from mxfont.
In the previous thread, I found that you did try a wrong approach with our method. MX-Font aims to few-shot font generation, where the model is pre-trained with a number of font libraries first, and then generate characters with a few references without training on the new style.
https://github.com/clovaai/mxfont/blob/main/inference.ipynb
Check this inference.ipynb
for how to generate (or reconstruct the remaining characters) with only a few reference characters without training on the new style.
from mxfont.
Thank you, I will work harder to study and research
from mxfont.
Related Issues (20)
- RuntimeError: indices should be either on cpu or on the same device as the indexed tensor (cpu) HOT 2
- Why do the models I trained predict the same results in two folders HOT 2
- There is a problem with the predicted character image HOT 3
- Got nothing after test using eval.py HOT 2
- Can the model output .ttf file? HOT 1
- OSError: symbolic link privilege not held HOT 1
- Why are there significant differences between the images generated in training and those generated in test files HOT 2
- dataset
- got a blank image during inference
- How can I export an onnx model HOT 4
- Is the content and style classifier pre trained, or are they trained together with mxfont HOT 6
- Training Set Consultation HOT 3
- font_indice font_indice HOT 3
- Consult "B.5. Training details" in the paper
- When reducing the training set characters, an error is reported: HOT 3
- The Role of Factorize and Defactorize HOT 2
- Hello, I have trained our model and found that the generation effect of characters with complex strokes is not very good. Do you have any good suggestions
- Classifier
- single Gpu report Bug
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from mxfont.