Neural Font Rendering
This addresses a gap in artistic creation tools for designers and developers, though it appears incremental as it builds on existing deep learning techniques.
The paper tackled the problem of integrating fonts with deep learning by proposing a network architecture that rasterizes glyphs at multiple sizes, enabling easier creation and manipulation of fonts.
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.