58 citations · 66 across the 4 of their papers we have counts for
5 papers · 1 filter
DEER: Detection-agnostic End-to-End Recognizer for Scene Text Spotting
Seonghyeon Kim, Seung Shin, Yoonsik Kim +6
Recent end-to-end scene text spotters have achieved great improvement in recognizing arbitrary-shaped text instances. Common approaches for text spotting use region of interest poo…
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…
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…
Few-shot Compositional Font Generation with Dual Memory
Junbum Cha, Sanghyuk Chun, Gayoung Lee +3
Generating a new font library is a very labor-intensive and time-consuming job for glyph-rich scripts. Despite the remarkable success of existing font generation methods, they have…
Character Region Awareness for Text Detection
Youngmin Baek, Bado Lee, Dongyoon Han +2
Scene text detection methods based on neural networks have emerged recently and have shown promising results. Previous methods trained with rigid word-level bounding boxes exhibit…