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: 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

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 . : Researchers use it to train GANs (Generative

: Some modern educational systems select 141 commonly used radicals from national standards (like GB13000.1) to create interactive learning games. such as TET-GAN

Alternatively, "141" is a significant number in Chinese linguistics and education: : Researchers use it to train GANs (Generative