1 citations · 1 across the 22 of their papers we have counts for
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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…
Cross-Domain Image Conversion by CycleDM
Sho Shimotsumagari, Shumpei Takezaki, Daichi Haraguchi +1
The purpose of this paper is to enable the conversion between machine-printed character images (i.e., font images) and handwritten character images through machine learning. For th…
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…
What Text Design Characterizes Book Genres?
Daichi Haraguchi, Brian Kenji Iwana, Seiichi Uchida
This study analyzes the relationship between non-verbal information (e.g., genres) and text design (e.g., font style, character color, etc.) through the classification of book genr…
Impression-CLIP: Contrastive Shape-Impression Embedding for Fonts
Yugo Kubota, Daichi Haraguchi, Seiichi Uchida
Fonts convey different impressions to readers. These impressions often come from the font shapes. However, the correlation between fonts and their impression is weak and unstable b…