mlsanityData to 7 Oct 2026

CalliGAN: Style and Structure-aware Chinese Calligraphy Character Generator

arXiv 2005.12500 ↗First posted 26 May 2020cs.CVcited by 28

Not on the map. Why?

Abstract (arXiv)

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 Chinese characters can be generated through image-to-image translation for multiple styles using a single model. We propose a novel method of this approach by incorporating Chinese characters' component information into its model. We also propose an improved network to convert characters to their embedding space. Experiments show that the proposed method generates high-quality Chinese calligraphy characters over state-of-the-art methods measured through numerical evaluations and human subject studies.

Key facts. Cited by 28 papers in the map (data through 7 Oct 2026). First posted on arXiv 26 May 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 9; 2023: 8; 2024: 3; 2025: 1; 2026: 3.

28 papers.

Sort:

By area:

  1. 2021DG-Font: Deformable Generative Networks for Unsupervised Font Generationcited by 70
  2. 2023FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learningcited by 48
  3. 2021Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Expertscited by 46
  4. 2022Content and Style Aware Generation of Text-line Images for Handwriting Recognitioncited by 35
  5. 2022Few-Shot Font Generation by Learning Fine-Grained Local Stylescited by 34
  6. 2022Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminatorcited by 32
  7. 2023CF-Font: Content Fusion for Few-shot Font Generationcited by 26
  8. 2021ZiGAN: Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approachcited by 20
  9. 2022XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generationcited by 18
  10. 2023AGTGAN: Unpaired Image Translation for Photographic Ancient Character Generationcited by 17
  11. 2023Calliffusion: Chinese Calligraphy Generation and Style Transfer with Diffusion Modelingcited by 9
  12. 2023Few shot font generation via transferring similarity guided global style and quantization local stylecited by 8
16 more
  1. 2021Few-shot Font Generation with Weakly Supervised Localized Representationscited by 7
  2. 2022FontTransformer: Few-shot High-resolution Chinese Glyph Image Synthesis via Stacked Transformerscited by 6
  3. 2023VQ-Font: Few-Shot Font Generation with Structure-Aware Enhancement and Quantizationcited by 5
  4. 2023CalliPaint: Chinese Calligraphy Inpainting with Diffusion Modelcited by 4
  5. 2023DeepCalliFont: Few-shot Chinese Calligraphy Font Synthesis by Integrating Dual-modality Generative Modelscited by 4
  6. 2024CalliffusionV2: Personalized Natural Calligraphy Generation with Flexible Multi-modal Controlcited by 3
  7. 2022DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generationcited by 2
  8. 2025UniCalli: A Unified Diffusion Framework for Column-Level Generation and Recognition of Chinese Calligraphycited by 2
  9. 2024Moyun: A Diffusion-Based Model for Style-Specific Chinese Calligraphy Generationcited by 1
  10. 2022StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encodingcited by 0
  11. 2022SGCE-Font: Skeleton Guided Channel Expansion for Chinese Font Generationcited by 0
  12. 2022GAS-NeXt: Few-Shot Cross-Lingual Font Generatorcited by 0
  13. 2024Few-shot Calligraphy Style Learningcited by 0
  14. 2026CalliMaster: Mastering Page-level Chinese Calligraphy via Layout-guided Spatial Planningcited by 0
  15. 2026InkDiffuser: High-Fidelity One-shot Chinese Calligraphy via Differentiable Morphological Optimizationcited by 0
  16. 2026NURBS Splatting: A Unified Differentiable Rendering Framework for Vector Graphicscited by 0