9 papers
OnomatoBridge: Onomatopoeia Translation and Rendering Pipeline in Manga
Takara Taniguchi, Wataru Shimoda, Kota Yamaguchi +1
Manga is a comic drawn by black and white paints gaining popularity around the world. Onomatopoeia in Manga specifically appeals to the audience with its unique visual styles, whic…
Automatic Text Box Placement for Supporting Typographic Design
Jun Muraoka, Daichi Haraguchi, Naoto Inoue +3
In layout design for advertisements and web pages, balancing visual appeal and communication efficiency is crucial. This study examines automated text box placement in incomplete l…
OTR: Synthesizing Overlay Text Dataset for Text Removal
Jan Zdenek, Wataru Shimoda, Kota Yamaguchi
Text removal is a crucial task in computer vision with applications such as privacy preservation, image editing, and media reuse. While existing research has primarily focused on s…
OnomatoGen: Onomatopoeia Generation with the Alpha-Channel in Manga
Takara Taniguchi, Wataru Shimoda, Kota Yamaguchi +1
Onomatopoeia is an important element for textual messaging in manga. Unlike character dialogue in manga, onomatopoeic expressions are visually stylized, with variations in shape, s…
Type-R: Automatically Retouching Typos for Text-to-Image Generation
Wataru Shimoda, Naoto Inoue, Daichi Haraguchi +3
While recent text-to-image models can generate photorealistic images from text prompts that reflect detailed instructions, they still face significant challenges in accurately rend…
Can GPTs Evaluate Graphic Design Based on Design Principles?
Daichi Haraguchi, Naoto Inoue, Wataru Shimoda +3
Recent advancements in foundation models show promising capability in graphic design generation. Several studies have started employing Large Multimodal Models (LMMs) to evaluate g…
OpenCOLE: Towards Reproducible Automatic Graphic Design Generation
Naoto Inoue, Kento Masui, Wataru Shimoda +1
Automatic generation of graphic designs has recently received considerable attention. However, the state-of-the-art approaches are complex and rely on proprietary datasets, which c…
Total Disentanglement of Font Images into Style and Character Class Features
Daichi Haraguchi, Wataru Shimoda, Kota Yamaguchi +1
In this paper, we demonstrate a total disentanglement of font images. Total disentanglement is a neural network-based method for decomposing each font image nonlinearly and complet…
Towards Diverse and Consistent Typography Generation
Wataru Shimoda, Daichi Haraguchi, Seiichi Uchida +1
In this work, we consider the typography generation task that aims at producing diverse typographic styling for the given graphic document. We formulate typography generation as a…