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cs.CV2025

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…

cs.CV2025

Few-Part-Shot Font Generation

Masaki Akiba, Shumpei Takezaki, Daichi Haraguchi +1

This paper proposes a novel model of few-part-shot font generation, which designs an entire font based on a set of partial design elements, i.e., partial shapes. Unlike conventiona…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…