mlsanityData to 7 Oct 2026

SVG Vector Font Generation for Chinese Characters with Transformer

arXiv 2206.10329 ↗First posted 21 Jun 2022cs.CVcited by 6

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Abstract (arXiv)

Designing fonts for Chinese characters is highly labor-intensive and time-consuming. While the latest methods successfully generate the English alphabet vector font, despite the high demand for automatic font generation, Chinese vector font generation has been an unsolved problem owing to its complex shape and numerous characters. This study addressed the problem of automatically generating Chinese vector fonts from only a single style and content reference. We proposed a novel network architecture with Transformer and loss functions to capture structural features without differentiable rendering. Although the dataset range was still limited to the sans-serif family, we successfully generated the Chinese vector font for the first time using the proposed method.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 15 of its 22 references that are in the map. First posted on arXiv 21 Jun 2022.

Builds on

15 of 22 references.

References · 15

  1. 2017Attention Is All You Needcited by 59,932
  2. 2014Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationcited by 4,016
  3. 2013Auto-Encoding Variational Bayescited by 3,980
  4. 2017Arbitrary Style Transfer in Real-time with Adaptive Instance Normalizationcited by 1,998
  5. 2016A Point Set Generation Network for 3D Object Reconstruction from a Single Imagecited by 972
  6. 2017A Neural Representation of Sketch Drawingscited by 311
  7. 2020DeepSVG: A Hierarchical Generative Network for Vector Graphics Animationcited by 158
  8. 2017Multi-Content GAN for Few-Shot Font Style Transfercited by 100
  9. 2019A Learned Representation for Scalable Vector Graphicscited by 91
  10. 2017Separating Style and Content for Generalized Style Transfercited by 64
  11. 2019Artistic Glyph Image Synthesis via One-Stage Few-Shot Learningcited by 53
  12. 2021Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Expertscited by 46
3 more
  1. 2016Drawing and Recognizing Chinese Characters with Recurrent Neural Networkcited by 26
  2. 2021DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learningcited by 14
  3. 2021The Nuts and Bolts of Adopting Transformer in GANscited by 2

Built on by

Cited by year

Citing papers per year: 2023: 3; 2024: 2; 2025: 1.

6 papers.

  1. 2023AutomaTikZ: Text-Guided Synthesis of Scientific Vector Graphics with TikZcited by 74
  2. 2023IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformerscited by 73
  3. 2023DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Qualitycited by 27
  4. 2024Vector Grimoire: Codebook-based Shape Generation under Raster Image Supervisioncited by 3
  5. 2024DeepIcon: A Hierarchical Network for Layer-wise Icon Vectorizationcited by 2
  6. 2025Stroke Modeling Enables Vectorized Character Generation with Large Vectorized Glyph Modelcited by 0