arXiv Open Access 2022

Neural Font Rendering

Daniel Anderson Ariel Shamir Ohad Fried

Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

cs.CV

Penulis (3)

Daniel Anderson

Ariel Shamir

Ohad Fried

Format Sitasi

APA MLA BibTeX

Anderson, D., Shamir, A., Fried, O. (2022). Neural Font Rendering. https://arxiv.org/abs/2211.14802

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓