3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 3 cited
StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures
Sanghyuk Chun, Song Park
Recent powerful vision classifiers are biased towards textures, while shape information is overlooked by the models. A simple attempt by augmenting training images using the artist…
cs.CV2021
Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts
Song Park, Sanghyuk Chun, Junbum Cha +2
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…
cs.CV2020
Few-shot Font Generation with Localized Style Representations and Factorization
Song Park, Sanghyuk Chun, Junbum Cha +2
Automatic few-shot font generation is a practical and widely studied problem because manual designs are expensive and sensitive to the expertise of designers. Existing few-shot fon…