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: This is the "Tiger" radical in the Kangxi system. It serves as a semantic component for characters related to tigers or "fierceness".

The string of characters you provided appears to be a result of (text encoding corruption). This happens when text is decoded using an incorrect character set—likely a mix-up between UTF-8 , Big5 , and GBK encodings often used for Chinese characters. : This is the "Tiger" radical in the Kangxi system

: 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 This happens when text is decoded using an

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 . Radical-Based Learning Systems Introduced by the , TE141K

: This is the "Tiger" radical in the Kangxi system. It serves as a semantic component for characters related to tigers or "fierceness".

The string of characters you provided appears to be a result of (text encoding corruption). This happens when text is decoded using an incorrect character set—likely a mix-up between UTF-8 , Big5 , and GBK encodings often used for Chinese characters.

: 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 .