mlsanityData to 7 Oct 2026

Neural Font Rendering

arXiv 2211.14802 ↗First posted 27 Nov 2022cs.CVcited by 1

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Abstract (arXiv)

Recent advances in deep learning techniques and applications have revolutionized artistic creation and manipulation in many domains (text, images, music); however, fonts have not yet been integrated with deep learning architectures in a manner that supports their multi-scale nature. In this work we aim to bridge this gap, proposing a network architecture capable of rasterizing glyphs in multiple sizes, potentially paving the way for easy and accessible creation and manipulation of fonts.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 16 of its 36 references that are in the map. First posted on arXiv 27 Nov 2022.

Builds on

16 of 36 references.

References · 16

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4 more
  1. 2017Multi-Content GAN for Few-Shot Font Style Transfercited by 100
  2. 2021DG-Font: Deformable Generative Networks for Unsupervised Font Generationcited by 70
  3. 2016From A to Z: Supervised Transfer of Style and Content Using Deep Neural Network Generatorscited by 14
  4. 2018Typeface Completion with Generative Adversarial Networkscited by 2

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Citing papers per year: 2024: 1.

1 paper.

  1. 2024Kinetic Typography Diffusion Modelcited by 9