This repository serves as a curated collection of academic papers, datasets, and projects related to anime and manga research. It targets researchers, developers, and enthusiasts in computer vision and graphics interested in the automated analysis and generation of animated content. The primary benefit is a centralized, organized resource for exploring state-of-the-art techniques and datasets in this specialized domain.

How It Works

The repository is structured by research topic, with each section listing relevant papers, their publication venues, and links to associated code or resources. It covers a broad spectrum of tasks including image generation, style transfer, sketch-to-image translation, colorization, and character recognition, all within the context of anime and manga. The organization facilitates quick discovery of relevant literature and tools for specific research problems.

Quick Start & Requirements

This repository is a curated list and does not have a direct installation or execution command. Users are expected to follow the links provided for individual papers and projects to access their respective requirements and setup instructions.

Highlighted Details

• Extensive coverage of Generative Adversarial Networks (GANs) and Diffusion Models applied to anime and manga.
• Detailed lists of datasets specifically created for anime/manga understanding tasks (e.g., Manga109Dialog, AnimeCeleb).
• Categorization of research into numerous sub-fields, from character recognition to video colorization.
• Links to related repositories and projects, including those for general animation and comic research.

Maintenance & Community

The repository is maintained by SerialLain3170. Further community engagement or contribution details are not explicitly provided in the README.

Licensing & Compatibility

The repository itself is a collection of links and does not impose a specific license. Users must adhere to the licenses of the individual projects and datasets they access through the links.

Limitations & Caveats

This is a curated list, and the availability or maintenance status of linked projects is not guaranteed. The breadth of topics means some areas may be more comprehensively covered than others.