mlsanityData to 14 Oct 2026

Auto-Encoder Guided GAN for Chinese Calligraphy Synthesis

arXiv 1706.08789 ↗First posted 27 Jun 2017cs.CVcited by 29

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Abstract (arXiv)

In this paper, we investigate the Chinese calligraphy synthesis problem: synthesizing Chinese calligraphy images with specified style from standard font(eg. Hei font) images (Fig. 1(a)). Recent works mostly follow the stroke extraction and assemble pipeline which is complex in the process and limited by the effect of stroke extraction. We treat the calligraphy synthesis problem as an image-to-image translation problem and propose a deep neural network based model which can generate calligraphy images from standard font images directly. Besides, we also construct a large scale benchmark that contains various styles for Chinese calligraphy synthesis. We evaluate our method as well as some baseline methods on the proposed dataset, and the experimental results demonstrate the effectiveness of our proposed model.

Key facts. Cited by 29 papers in the map (data through 14 Oct 2026). First posted on arXiv 27 Jun 2017.

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Citing papers per year: 2021: 6; 2022: 9; 2023: 7; 2024: 3; 2025: 2; 2026: 2.

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  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. 2022Content and Style Aware Generation of Text-line Images for Handwriting Recognitioncited by 35
  4. 2022Few-Shot Font Generation by Learning Fine-Grained Local Stylescited by 34
  5. 2022Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminatorcited by 32
  6. 2023DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Qualitycited by 27
  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. 2023TextPainter: Multimodal Text Image Generation with Visual-harmony and Text-comprehension for Poster Designcited by 18
  10. 2022RZCR: Zero-shot Character Recognition via Radical-based Reasoningcited by 12
  11. 2021Impressions2Font: Generating Fonts by Specifying Impressionscited by 10
  12. 2022GenText: Unsupervised Artistic Text Generation via Decoupled Font and Texture Manipulationcited by 6
17 more
  1. 2023VQ-Font: Few-Shot Font Generation with Structure-Aware Enhancement and Quantizationcited by 5
  2. 2024WAS: Dataset and Methods for Artistic Text Segmentationcited by 5
  3. 2021Font Style that Fits an Image -- Font Generation Based on Image Contextcited by 3
  4. 2023Diff-Oracle: Deciphering Oracle Bone Scripts with Controllable Diffusion Modelcited by 3
  5. 2025MegaHan97K: A Large-Scale Dataset for Mega-Category Chinese Character Recognition with over 97K Categoriescited by 3
  6. 2022DGFont++: Robust Deformable Generative Networks for Unsupervised Font Generationcited by 2
  7. 2025MX-Font++: Mixture of Heterogeneous Aggregation Experts for Few-shot Font Generationcited by 2
  8. 2024CalliRewrite: Recovering Handwriting Behaviors from Calligraphy Images without Supervisioncited by 1
  9. 2026FontCrafter: High-Fidelity Element-Driven Artistic Font Creation with Visual In-Context Generationcited by 1
  10. 2021ShufaNet: Classification method for calligraphers who have reached the professional levelcited by 0
  11. 2021Natural Scene Text Editing Based on AIcited by 0
  12. 2022End-to-End Rubbing Restoration Using Generative Adversarial Networkscited by 0
  13. 2022StrokeGAN+: Few-Shot Semi-Supervised Chinese Font Generation with Stroke Encodingcited by 0
  14. 2022SGCE-Font: Skeleton Guided Channel Expansion for Chinese Font Generationcited by 0
  15. 2023Style Generation in Robot Calligraphy with Deep Generative Adversarial Networkscited by 0
  16. 2024Text Image Generation for Low-Resource Languages with Dual Translation Learningcited by 0
  17. 2026HandwritingAgent: Language-Driven Handwriting Synthesis in Scalable Vector Spacecited by 0