Handwriting generation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

10 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

12 shown of 12 papers with code (20 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• HyperNetworks
  27 Sep 2016 10 repositories listed Syntology ran 3 of 4 samples · 1 unverified · 3 pointer-only (licence)
  This work explores hypernetworks: an approach of using a one network, also known as a hypernetwork, to generate the weights for another network.
• ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation
  23 Mar 2020 3 repositories listed Syntology ran 2 of 15 samples · 13 unverified
  This is especially true for handwritten text recognition (HTR), where each author has a unique style, unlike printed text, where the variation is smaller by design.
• Data Generation for Post-OCR correction of Cyrillic handwriting
  27 Nov 2023 2 repositories listed
  We apply a Handwritten Text Recognition (HTR) model to this dataset to identify OCR errors, forming the basis for our POC model training.
• Disentangling Writer and Character Styles for Handwriting Generation
  26 Mar 2023 2 repositories listed Syntology ran 0 of 16 samples · 16 unverified
  In light of this, we propose to disentangle the style representations at both writer and character levels from individual handwritings to synthesize realistic stylized online handwritten characters.
• Diffusion models for Handwriting Generation
  13 Nov 2020 2 repositories listed
  In this paper, we propose a diffusion probabilistic model for handwriting generation.
• WriteViT: Handwritten Text Generation with Vision Transformer
  19 May 2025 1 repository listed
  Humans can quickly generalize handwriting styles from a single example by intuitively separating content from style.
• One-Shot Diffusion Mimicker for Handwritten Text Generation
  6 Sep 2024 1 repository listed
  Extensive experiments demonstrate that our method can successfully generate handwriting scripts with just one sample reference in multiple languages, even outperforming previous methods using over ten samples.
• Rethinking HTG Evaluation: Bridging Generation and Recognition
  4 Sep 2024 1 repository listed
  In this work, we introduce three measures tailored for HTG evaluation, HTG_(HTR), HTG_(style), and HTG_(OOV), and argue that they are more expedient to evaluate the quality of generated handwritten images.
• WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
  29 Mar 2023 1 repository listed
  Our proposed method is able to generate realistic word image samples from different writer styles, by using class index styles and text content prompts without the need of adversarial training, writer recognition, or…
• Text and Style Conditioned GAN for Generation of Offline Handwriting Lines
  1 Sep 2020 1 repository listed
  This paper presents a GAN for generating images of handwritten lines conditioned on arbitrary text and latent style vectors.
• DeepWriting: Making Digital Ink Editable via Deep Generative Modeling
  25 Jan 2018 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  Digital ink promises to combine the flexibility and aesthetics of handwriting and the ability to process, search and edit digital text.
• Professor Forcing: A New Algorithm for Training Recurrent Networks
  27 Oct 2016 1 repository listed
  We introduce the Professor Forcing algorithm, which uses adversarial domain adaptation to encourage the dynamics of the recurrent network to be the same when training the network and when sampling from the network over…

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.