Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts

Understand

A few-shot font generation (FFG) method has to satisfy two objectives: the generated images should preserve the underlying global structure of the target character and present the diverse local reference style.

• Existing FFG methods aim to disentangle content and style either by extracting a universal representation style or extracting multiple component-wise style representations.
• However, previous methods either fail to capture diverse local styles or cannot be generalized to a character with unseen components, e.g., unseen language systems.
• To mitigate the issues, we propose a novel FFG method, named Multiple Localized Experts Few-shot Font Generation Network (MX-Font).