mlsanityData to 14 Oct 2026

Few-Part-Shot Font Generation

arXiv 2509.10006 ↗First posted 12 Sep 2025cs.CVcited by 0

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Abstract (arXiv)

This paper proposes a novel model of few-part-shot font generation, which designs an entire font based on a set of partial design elements, i.e., partial shapes. Unlike conventional few-shot font generation, which requires entire character shapes for a couple of character classes, our approach only needs partial shapes as input. The proposed model not only improves the efficiency of font creation but also provides insights into how partial design details influence the entire structure of the individual characters.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 18 of its 25 references that are in the map. First posted on arXiv 12 Sep 2025.

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18 of 25 references.

References · 18

  1. 2017Attention Is All You Needcited by 60,361
  2. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  3. 2018Representation Learning with Contrastive Predictive Codingcited by 7,777
  4. 2017Deep Setscited by 1,421
  5. 2017Separating Style and Content for Generalized Style Transfercited by 64
  6. 2019Artistic Glyph Image Synthesis via One-Stage Few-Shot Learningcited by 53
  7. 2023FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learningcited by 48
  8. 2019STEFANN: Scene Text Editor using Font Adaptive Neural Networkcited by 47
  9. 2020Few-shot Font Generation with Localized Style Representations and Factorizationcited by 47
  10. 2021Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Expertscited by 46
  11. 2020Few-shot Compositional Font Generation with Dual Memorycited by 44
  12. 2022Diff-Font: Diffusion Model for Robust One-Shot Font Generationcited by 40
6 more
  1. 2022Few-Shot Font Generation by Learning Fine-Grained Local Stylescited by 34
  2. 2022Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminatorcited by 32
  3. 2021Which Parts Determine the Impression of the Font?cited by 7
  4. 2024GRIF-DM: Generation of Rich Impression Fonts using Diffusion Modelscited by 4
  5. 2022Font Shape-to-Impression Translationcited by 3
  6. 2024Font Style Interpolation with Diffusion Modelscited by 3

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