Method for generating family fonts based on AttGan model
A model generation and font technology, applied in neural learning methods, biological neural network models, character and pattern recognition, etc., can solve problems such as unpredictability, uncontrollable GANs model generation process, and poor detail recognition
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[0041] The technical solutions in the implementation of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. It can be understood that the described examples are only some examples of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.
[0042] figure 1 A flowchart showing a method for generating family fonts based on the AttGan model, figure 2 A network structure diagram of a method for generating family fonts based on the AttGan model is shown. The specific implementation steps of this method for generating family fonts are as follows:
[0043] Firstly, convert the bold and thin data sets of the target font provided by the designer into image format, adjust the size, and uniforml...
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