A survey of comics research in computer science
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Abstract (arXiv)
Graphical novels such as comics and mangas are well known all over the world. The digital transition started to change the way people are reading comics, more and more on smartphones and tablets and less and less on paper. In the recent years, a wide variety of research about comics has been proposed and might change the way comics are created, distributed and read in future years. Early work focuses on low level document image analysis: indeed comic books are complex, they contains text, drawings, balloon, panels, onomatopoeia, etc. Different fields of computer science covered research about user interaction and content generation such as multimedia, artificial intelligence, human-computer interaction, etc. with different sets of values. We propose in this paper to review the previous research about comics in computer science, to state what have been done and to give some insights about the main outlooks.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Apr 2018.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 6; 2025: 0; 2026: 1.
9 papers.
- 2024CoMix: A Comprehensive Benchmark for Multi-Task Comic Understandingcited by 15
- 2021DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognitioncited by 9
- 2024One missing piece in Vision and Language: A Survey on Comics Understandingcited by 8
- 2024MangaUB: A Manga Understanding Benchmark for Large Multimodal Modelscited by 7
- 2024Re:Draw -- Context Aware Translation as a Controllable Method for Artistic Productioncited by 3
- 2024Toward accessible comics for blind and low vision readerscited by 2
- 2024How Panel Layouts Define Manga: Insights from Visual Ablation Experimentscited by 1
- 2023CPST: Comprehension-Preserving Style Transfer for Multi-Modal Narrativescited by 0
- 2026Semantic Similarity is a Spurious Measure of Comic Understanding: Lessons Learned from Hallucinations in a Benchmarking Experimentcited by 0
- 2026Semantic Similarity is a Spurious Measure of Comic Understanding: Lessons Learned from Hallucinations in a Benchmarking Experiment2 Mar 2026
- 2024How Panel Layouts Define Manga: Insights from Visual Ablation Experiments26 Dec 2024
- 2024One missing piece in Vision and Language: A Survey on Comics Understanding14 Sep 2024
- 2024MangaUB: A Manga Understanding Benchmark for Large Multimodal Models26 Jul 2024
- 2024Toward accessible comics for blind and low vision readers11 Jul 2024
- 2024CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding4 Jul 2024
- 2024Re:Draw -- Context Aware Translation as a Controllable Method for Artistic Production7 Jan 2024
- 2023CPST: Comprehension-Preserving Style Transfer for Multi-Modal Narratives14 Dec 2023
- 2021DAF:re: A Challenging, Crowd-Sourced, Large-Scale, Long-Tailed Dataset For Anime Character Recognition21 Jan 2021