mlsanityData to 7 Oct 2026

Multi-Content GAN for Few-Shot Font Style Transfer

arXiv 1712.00516 ↗First posted 1 Dec 2017cs.CVcited by 100

Not on the map. Why?

Abstract (arXiv)

In this work, we focus on the challenge of taking partial observations of highly-stylized text and generalizing the observations to generate unobserved glyphs in the ornamented typeface. To generate a set of multi-content images following a consistent style from very few examples, we propose an end-to-end stacked conditional GAN model considering content along channels and style along network layers. Our proposed network transfers the style of given glyphs to the contents of unseen ones, capturing highly stylized fonts found in the real-world such as those on movie posters or infographics. We seek to transfer both the typographic stylization (ex. serifs and ears) as well as the textual stylization (ex. color gradients and effects.) We base our experiments on our collected data set including 10,000 fonts with different styles and demonstrate effective generalization from a very small number of observed glyphs.

Key facts. Cited by 100 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Dec 2017.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 24; 2022: 19; 2023: 24; 2024: 14; 2025: 11; 2026: 8.

100 papers.

Sort:

By area:

  1. 2021More Control for Free! Image Synthesis with Semantic Diffusion Guidancecited by 211
  2. 2022A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunitiescited by 162
  3. 2021Im2Vec: Synthesizing Vector Graphics without Vector Supervisioncited by 114
  4. 2021DG-Font: Deformable Generative Networks for Unsupervised Font Generationcited by 70
  5. 2023Word-As-Image for Semantic Typographycited by 62
  6. 2021TextStyleBrush: Transfer of Text Aesthetics from a Single Examplecited by 48
  7. 2023A Survey on Few-Shot Class-Incremental Learningcited by 48
  8. 2021Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Expertscited by 46
  9. 2023Improving Diffusion Models for Scene Text Editing with Dual Encoderscited by 44
  10. 2024FonTS: Text Rendering with Typography and Style Controlscited by 40
  11. 2022Exploring Stroke-Level Modifications for Scene Text Editingcited by 36
  12. 2022Content and Style Aware Generation of Text-line Images for Handwriting Recognitioncited by 35
38 more
  1. 2023Disentangling Writer and Character Styles for Handwriting Generationcited by 35
  2. 2022Few-Shot Font Generation by Learning Fine-Grained Local Stylescited by 34
  3. 2023Handwritten Text Generation from Visual Archetypescited by 32
  4. 2023DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Qualitycited by 27
  5. 2023DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusioncited by 26
  6. 2025EasyText: Controllable Diffusion Transformer for Multilingual Text Renderingcited by 25
  7. 2021De-rendering Stylized Textscited by 24
  8. 2021A Multi-Implicit Neural Representation for Fontscited by 21
  9. 2021ZiGAN: Fine-grained Chinese Calligraphy Font Generation via a Few-shot Style Transfer Approachcited by 20
  10. 2023VecFusion: Vector Font Generation with Diffusioncited by 20
  11. 2022XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generationcited by 18
  12. 2023TextPainter: Multimodal Text Image Generation with Visual-harmony and Text-comprehension for Poster Designcited by 18
  13. 2024VATr++: Choose Your Words Wisely for Handwritten Text Generationcited by 18
  14. 2023AGTGAN: Unpaired Image Translation for Photographic Ancient Character Generationcited by 17
  15. 2023DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representationcited by 16
  16. 2025WordCon: Word-level Typography Control in Scene Text Renderingcited by 16
  17. 2021DeepVecFont: Synthesizing High-quality Vector Fonts via Dual-modality Learningcited by 14
  18. 2024Layout Agnostic Scene Text Image Synthesis with Diffusion Modelscited by 14
  19. 2021STRIVE: Scene Text Replacement In Videoscited by 13
  20. 2024Dynamic Typography: Bringing Text to Life via Video Diffusion Priorcited by 12
  21. 2023Towards Diverse and Consistent Typography Generationcited by 11
  22. 2021Impressions2Font: Generating Fonts by Specifying Impressionscited by 10
  23. 2022DeepDC: Deep Distance Correlation as a Perceptual Image Quality Evaluatorcited by 10
  24. 2022Progressive Scene Text Erasing with Self-Supervisioncited by 9
  25. 2023AGI for Agriculturecited by 9
  26. 2024FontStudio: Shape-Adaptive Diffusion Model for Coherent and Consistent Font Effect Generationcited by 9
  27. 2024Kinetic Typography Diffusion Modelcited by 9
  28. 2024Intelligent Artistic Typography: A Comprehensive Review of Artistic Text Design and Generationcited by 9
  29. 2023Few shot font generation via transferring similarity guided global style and quantization local stylecited by 8
  30. 2024AnyTrans: Translate AnyText in the Image with Large Scale Modelscited by 8
  31. 2021Which Parts Determine the Impression of the Font?cited by 7
  32. 2021Learning Implicit Glyph Shape Representationcited by 7
  33. 2021Few-shot Font Generation with Weakly Supervised Localized Representationscited by 7
  34. 2023VecFontSDF: Learning to Reconstruct and Synthesize High-quality Vector Fonts via Signed Distance Functionscited by 7
  35. 2025PTDiffusion: Free Lunch for Generating Optical Illusion Hidden Pictures with Phase-Transferred Diffusion Modelcited by 7
  36. 2022Font Generation with Missing Impression Labelscited by 6
  37. 2022SVG Vector Font Generation for Chinese Characters with Transformercited by 6
  38. 2022GenText: Unsupervised Artistic Text Generation via Decoupled Font and Texture Manipulationcited by 6

50 most cited of 100 All 100 (JSON)