: Researchers use it to train GANs (Generative Adversarial Networks) , such as TET-GAN, to automatically apply complex visual textures and effects to plain text. 2. Radical-Based Learning Systems
: It is organized into three categories: TE141K-C (Chinese characters, 65 styles), TE141K-E (English alphabet, 67 styles), and TE141K-S (symbols and other languages, 20 styles). : Researchers use it to train GANs (Generative
Introduced by the , TE141K is a large-scale dataset specifically designed for artistic font generation and text effects transfer . Scale : It contains 141,081 text effect/glyph pairs . Introduced by the , TE141K is a large-scale
: The dataset features 152 professionally designed styles applied to Chinese characters, English letters, and numerals. : This is the "Tiger" radical in the Kangxi system
: This is the "Tiger" radical in the Kangxi system. It serves as a semantic component for characters related to tigers or "fierceness".
Alternatively, "141" is a significant number in Chinese linguistics and education: