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SE-GAN: Skeleton Enhanced Generative Adversarial Network for Brush Handwritin...
A large-scale brush handwriting Chinese font dataset with six styles and 15,000 high-resolution images. -
Few-shot Font Generation with Dual Memory
A dataset for few-shot font generation with dual memory. -
New Dataset for Evaluating Glyph Generation
A dataset for evaluating glyph generation across different languages, math symbols, and other signs common in the Unicode standard. -
VecFusion: Vector Font Generation with Diffusion
A new neural architecture for generating vector fonts with varying topological structures and precise control point positions. -
Korean font datasets
Korean font datasets. We collect a dataset of 201 Korean fonts, 195 for training, and the remaining 6 for testing. This dataset contains 2,350 Korean characters. -
Chinese font datasets
Chinese font datasets. We collect 410 fonts (styles) including handwritten fonts and printed fonts as our whole dataset. Each font has 6,625 Chinese characters that cover almost... -
Learning a manifold of fonts
Learning a manifold of fonts. -
Svg vector font generation for chinese characters with transformer
Svg vector font generation for chinese characters with transformer. -
Efficient and Scalable Chinese Vector Font Generation via Component Composition
Chinese vector font generation is challenging due to the complex structure and huge amount of Chinese characters. Recent advances remain limited to generating a small set of... -
GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Ne...
Font generation experiment using GlyphGAN, including legibility, diversity, and style consistency evaluation. -
Variational Grid Setting Network
Variational Grid Setting Network (VGSN) for generating missing Chinese characters from a Chinese font set.
