A Deep Factorization of Style and Structure in Fonts
Nikita Srivatsan, Jonathan Barron, Dan Klein, Taylor Berg-Kirkpatrick
Abstract
We propose a deep factorization model for typographic analysis that disentangles content from style. Specifically, a variational inference procedure factors each training glyph into the combination of a character-specific content embedding and a latent font-specific style variable. The underlying generative model combines these factors through an asymmetric transpose convolutional process to generate the image of the glyph itself. When trained on corpora of fonts, our model learns a manifold over font styles that can be used to analyze or reconstruct new, unseen fonts. On the task of reconstructing missing glyphs from an unknown font given only a small number of observations, our model outperforms both a strong nearest neighbors baseline and a state-of-the-art discriminative model from prior work.- Anthology ID:
- D19-1225
- Original:
- D19-1225v1
- Version 2:
- D19-1225v2
- Volume:
- Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
- Month:
- November
- Year:
- 2019
- Address:
- Hong Kong, China
- Editors:
- Kentaro Inui, Jing Jiang, Vincent Ng, Xiaojun Wan
- Venues:
- EMNLP | IJCNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 2195–2205
- Language:
- URL:
- https://aclanthology.org/D19-1225
- DOI:
- 10.18653/v1/D19-1225
- Cite (ACL):
- Nikita Srivatsan, Jonathan Barron, Dan Klein, and Taylor Berg-Kirkpatrick. 2019. A Deep Factorization of Style and Structure in Fonts. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 2195–2205, Hong Kong, China. Association for Computational Linguistics.
- Cite (Informal):
- A Deep Factorization of Style and Structure in Fonts (Srivatsan et al., EMNLP-IJCNLP 2019)
- PDF:
- https://preview.aclanthology.org/corrections-2024-07/D19-1225.pdf
- Code
- NikitaSrivatsan/DeepFactorizationFontsEMNLP19