SerialLain3170/AwesomeAnimeResearch
Papers, repository and other data about anime or manga research. Please let me know if you have information that the list does not include.
What it solves
This repository serves as a centralized knowledge base for researchers working on the intersection of computer vision and animation. It addresses the difficulty of finding specialized datasets and academic literature specifically tailored to anime-style imagery, character recognition, and cartoon animation generation.
How it works
The project organizes academic resources into several key categories:
- Datasets: A collection of large-scale datasets for anime character recognition, manga transcription, and cartoon face recognition.
- Anime Production: Research papers covering end-to-end animation generation and multi-agent planning for storytelling.
- Image Generation: A wide array of studies on GANs, diffusion models, and few-shot learning specifically applied to illustration styles.
- Image-to-Image Translation: Resources for converting real human portraits into anime-style characters.
Who it’s for
- AI Researchers specializing in generative models, computer vision, or stylized image synthesis.
- Machine Learning Engineers looking for domain-specific datasets for training animation-related models.
- Academic Students studying the evolution of GANs and diffusion models in the context of 2D art.
Highlights
- Comprehensive lists of datasets for manga analysis and anime character detection.
- Extensive research coverage on controllable animation video generation.
- Dedicated sections for interpretability and latent space manipulation in generative models.
- Curated resources for text-to-image and image-to-image translation within the cartoon domain.