Few-shot font generation by learning fine-grained local styles
Few-shot font generation (FFG), which aims to generate a new font with a few examples, is
gaining increasing attention due to the significant reduction in labor cost. A typical FFG …
gaining increasing attention due to the significant reduction in labor cost. A typical FFG …
Generative adversarial networks for handwriting image generation: a review
Handwriting synthesis, the task of automatically generating realistic images of handwritten
text, has gained increasing attention in recent years, both as a challenge in itself, as well as …
text, has gained increasing attention in recent years, both as a challenge in itself, as well as …
Rd-gan: Few/zero-shot chinese character style transfer via radical decomposition and rendering
Y Huang, M He, L **, Y Wang - … Conference, Glasgow, UK, August 23–28 …, 2020 - Springer
Style transfer has attracted much interest owing to its various applications. Compared with
English character or general artistic style transfer, Chinese character style transfer remains a …
English character or general artistic style transfer, Chinese character style transfer remains a …
Vq-font: Few-shot font generation with structure-aware enhancement and quantization
Few-shot font generation is challenging, as it needs to capture the fine-grained stroke styles
from a limited set of reference glyphs, and then transfer to other characters, which are …
from a limited set of reference glyphs, and then transfer to other characters, which are …
Calligan: Style and structure-aware chinese calligraphy character generator
Chinese calligraphy is the writing of Chinese characters as an art form performed with
brushes so Chinese characters are rich of shapes and details. Recent studies show that …
brushes so Chinese characters are rich of shapes and details. Recent studies show that …
Zigan: Fine-grained chinese calligraphy font generation via a few-shot style transfer approach
Q Wen, S Li, B Han, Y Yuan - Proceedings of the 29th ACM international …, 2021 - dl.acm.org
Chinese character style transfer is a very challenging problem because of the complexity of
the glyph shapes or underlying structures and large numbers of existed characters, when …
the glyph shapes or underlying structures and large numbers of existed characters, when …
Layer similarity guiding few-shot Chinese style transfer
Y Li, G Lin, M He, D Yuan, K Liao - The Visual Computer, 2024 - Springer
Few-shot text style transfer faces two main challenges: The first challenge is the limited
availability of reference style text, while the second challenge is the varying degrees of …
availability of reference style text, while the second challenge is the varying degrees of …
Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline
In this paper we explore a novel challenging generation task ie Handwritten Mathematical
Expression Generation (HMEG) from symbolic sequences. Since symbolic sequences are …
Expression Generation (HMEG) from symbolic sequences. Since symbolic sequences are …
Se-gan: Skeleton enhanced gan-based model for brush handwriting font generation
Previous works on font generation mainly focus on the standard print fonts where character's
shape is stable and strokes are clearly separated. There is rare research on brush hand …
shape is stable and strokes are clearly separated. There is rare research on brush hand …
Review of GAN-Based Research on Chinese Character Font Generation
X Wang, C Li, Z Sun, L Hui - Chinese Journal of Electronics, 2024 - ieeexplore.ieee.org
With the rapid development of deep learning, generative adversarial network (GAN) has
become a research hotspot in the field of computer vision. GAN has a wide range of …
become a research hotspot in the field of computer vision. GAN has a wide range of …