99 citations · 99 across the 5 of their papers we have counts for
5 papers
Manga109-v2026: Revisiting Manga109 Annotations for Modern Manga Understanding
Jeonghun Baek, Atsuyuki Miyai, Shota Onohara +2
Manga is a culturally distinctive multimodal medium and one of the most influential forms of Japanese popular culture. As AI systems increasingly target manga understanding, OCR, a…
MangaVQA and MangaLMM: A Benchmark and Specialized Model for Multimodal Manga Understanding
Jeonghun Baek, Kazuki Egashira, Shota Onohara +4
Manga, or Japanese comics, is a richly multimodal narrative form that blends images and text in complex ways. Teaching large multimodal models (LMMs) to understand such narratives…
MangaUB: A Manga Understanding Benchmark for Large Multimodal Models
Hikaru Ikuta, Leslie Wöhler, Kiyoharu Aizawa
Manga is a popular medium that combines stylized drawings and text to convey stories. As manga panels differ from natural images, computational systems traditionally had to be desi…
Few-Shot Font Generation with Deep Metric Learning
Haruka Aoki, Koki Tsubota, Hikaru Ikuta +1
Designing fonts for languages with a large number of characters, such as Japanese and Chinese, is an extremely labor-intensive and time-consuming task. In this study, we addressed…
Building a Manga Dataset "Manga109" with Annotations for Multimedia Applications
Kiyoharu Aizawa, Azuma Fujimoto, Atsushi Otsubo +4
Manga, or comics, which are a type of multimodal artwork, have been left behind in the recent trend of deep learning applications because of the lack of a proper dataset. Hence, we…