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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

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

: These systems often use dual-tower neural networks to help students combine these 141 components into thousands of valid Chinese characters, improving engagement and memorization. TE141K: Artistic Text Benchmark for Text Effect Transfer such as TET-GAN

: 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). TE141K-E (English alphabet