Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Mengxi Qin"'
Publikováno v:
IET Image Processing, Vol 16, Iss 2, Pp 393-406 (2022)
Abstract Automatic generation of calligraphy fonts has attracted broad attention of researchers. However, previous font generation research mainly focused on the known font style imitation based on image to image translation. For poor interpretabilit
Externí odkaz:
https://doaj.org/article/711aeb4925f74c3bb21be6c923531307
Publikováno v:
IET Image Processing, Vol 16, Iss 2, Pp 393-406 (2022)
Automatic generation of calligraphy fonts has attracted broad attention of researchers. However, previous font generation research mainly focused on the known font style imitation based on image to image translation. For poor interpretability, it is
Publikováno v:
Signal, Image and Video Processing. 16:559-567
Chinese calligraphy has a strong artistry and appreciation. Through deep learning methods such as image translation methods, Chinese characters lacking in a set of calligraphy fonts can be quickly generated. Because of the clear structure of Chinese
Publikováno v:
2021 China Automation Congress (CAC).
Publikováno v:
2021 40th Chinese Control Conference (CCC).
Style transfer has received much attention, and Chinese character style transfer is an important application. In the previous Chinese character style transfer methods, most of the methods separately establish a mapping from source font to target Chin
Chinese Calligraphy Character Generating via CGAN with a Multi-subnet Parallel and Cascade Generator
Publikováno v:
2020 39th Chinese Control Conference (CCC).
Chinese character generation is one of the key technologies in Chinese character intelligent design. Most generation methods cannot solve the situation where the generated Chinese character strokes have artifact or even miss. The main reason is that
Autor:
Xin Chen, Mengxi Qin
Publikováno v:
2019 Chinese Control Conference (CCC).
Calligraphy is an important humanistic symbol of Chinese civilization. However, most of the calligraphy is incomplete, which has only a small number of Chinese characters circulating in the world. How to use these samples to efficiently restore the r