Parametric type design in the era of variable and color fonts
Parametric fonts are programatically defined fonts with variable parameters, pioneered by Donald Kunth with his MetaFont technology in the 1980s. While Donald Knuth's ideas in MetaFont and subsequently in MetaPost are often seen as legacy techniques from the pre-graphical user interface (GUI) era of type design, recent trends like variable fonts suggest a resurgence of certain principles. This paper explores a modern type design process built on parametric design principles, specifically using MetaPost. The author created two variable fonts with this method and released them under a free, open-source license. The paper details the methodology, workflow, and insights gained from this process.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
NIV: Neural Axis Variations for Variable Font Generation
Variable fonts enable continuous variation of glyph geometry along semantic design axes such as weight, width, slant, and optical size. However, constructing a variable font from a static font remains a labor-intensive p…
FONTNET: On-Device Font Understanding and Prediction Pipeline
Fonts are one of the most basic and core design concepts. Numerous use cases can benefit from an in depth understanding of Fonts such as Text Customization which can change text in an image while maintaining the Font att…
Font RecognitionPredictionAutomatic Generation of Chinese Handwriting via Fonts Style Representation Learning
In this paper, we propose and end-to-end deep Chinese font generation system. This system can generate new style fonts by interpolation of latent style-related embeding variables that could achieve smooth transition betw…
Font GenerationRepresentation LearningMulti-Content GAN for Few-Shot Font Style Transfer
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-conten…
Font Style TransferStyle TransferTowards Flexible Multi-modal Document Models
Creative workflows for generating graphical documents involve complex inter-related tasks, such as aligning elements, choosing appropriate fonts, or employing aesthetically harmonious colors. In this work, we attempt at …
Multi-Task LearningPosition