Bandai-Namco-Research-Motiondataset facilitates research in Motion Style Transfer (MST), a technique for transforming motion styles while preserving content. The datasets comprise motion capture data from three professional actors, post-processed and saved in BVH format. This resource aims to enable the development of more expressive and stylized character animations by offering a diverse range of motion data.
This project offers high-quality, professionally captured motion data suitable for training MST models. The datasets include a variety of contents and styles, catering to a wide range of research applications. The structured format and accompanying documentation simplify data usage and integration into MST pipelines.
- Diverse Contents: Includes daily activities, fighting, dancing, locomotion, and hand actions for varied MST model training.
- Multiple Styles: Offers a wide selection of styles such as active, tired, happy, and uniform expressions.
- BVH Format: Datasets are provided in BVH format for compatibility with popular animation and game engines.
- Comprehensive Data: Bandai-Namco-Research-Motiondataset-2 contains a large number of frames for robust MST model training.
- Blender Visualization: Sample scripts for visualization in Blender are provided.
- Clear Licensing: Datasets and scripts are available under permissive licenses (CC BY-NC 4.0 and MIT).
- Research-Focused: Accompanied by relevant research papers and a list of related datasets.
The repository contains well-documented datasets and example scripts, indicating a mature state suitable for research and development. The presence of citation information and clear licensing terms further supports the project's reliability. Active maintenance and ongoing research in MST demonstrate the continued relevance and usefulness of this resource.
Researchers and developers working on Motion Style Transfer, animation, and character behavior can benefit from Bandai-Namco-Research-Motiondataset. It enables the creation of more expressive and realistic character animations for games, movies, and other applications, providing a valuable alternative to manually creating diverse motion data.