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MVFGA-MoCap Dataset
Overview
MVFGA-MoCap is a multi-view upper-body motion-capture dataset collected for face and gesture animation research. It contains synchronized RGB videos of participants performing facial expressions, hand gestures, and natural upper-body communication motions.
The capture setup described in the accompanying work used Nikon D3200 DSLR cameras recording at 25 FPS with studio lighting. The cameras were arranged around each participant, and recordings were manually synchronized using clap gestures at the beginning and end of each sequence. Camera calibration was performed with OpenCV using checkerboard observations.
Cameras 001 through 015 capture the main frontal and side views. Cameras 016 and 017 are rear-side cameras included to provide additional viewpoints for triangulation and to improve 3D keypoint estimation, mesh fitting, and reconstruction when body parts are occluded from the frontal cameras.
Dataset Contents
This release contains 10 subject folders. Each subject folder has the following structure:
subject_xxx/
videos/
001.mp4
...
017.mp4
camera_params.json
The videos are portrait-oriented RGB MP4 files. The released files are stored at 1080 × 1920 resolution and 25 FPS.
Camera Parameters
Each camera_params.json file contains calibration data with the following entries:
intrinsics: a3 × 3camera matrix for each calibrated camera.dist: lens-distortion coefficients.world_2_cam: a4 × 4world-to-camera extrinsic transformation.
The video filename corresponds to the camera ID. For example:
videos/001.mp4 -> camera_params.json["intrinsics"]["001"]
videos/001.mp4 -> camera_params.json["world_2_cam"]["001"]
Calibration matrices are provided for cameras 001 through 015. Videos 016.mp4 and 017.mp4 contain rear-side views, but matching calibration matrices are not included in the provided camera_params.json files.
Access
Access is granted automatically after a logged-in Hugging Face user completes the access form and accepts the dataset conditions.
The submitted information is shared with the dataset repository owners for access administration and research-use tracking.
Download
First accept the access conditions on the dataset page. Then authenticate with Hugging Face:
pip install -U huggingface_hub
hf auth login
Download the complete repository:
hf download arjavanmardi/MVFGA \
--repo-type dataset \
--local-dir MVFGA-MoCap
You can also download individual files from the Files and versions tab after access has been granted.
Intended Use
The dataset is intended solely for non-commercial academic and scientific research related to topics such as:
- multi-view human capture;
- face and gesture animation;
- upper-body avatar reconstruction;
- 3D keypoint estimation and triangulation;
- mesh fitting and dynamic Gaussian representations.
Restrictions
The following uses are not permitted without explicit written permission from the dataset owners:
- commercial use;
- redistribution or re-hosting of the dataset or derived copies that expose the original recordings;
- identifying or attempting to identify participants;
- profiling participants;
- impersonating participants or creating deceptive representations of them;
- using the dataset in ways that violate applicable law, institutional policy, or research-ethics requirements.
See the included LICENSE file for the complete terms.
Citation
Please cite the accompanying paper when using this dataset:
@article{10.1111:cgf.70567,
journal = {Computer Graphics Forum},
title = {{Multi-View Face and Gesture Animation with Dynamic Gaussians}},
author = {Javanmardi, A. and Jeetmal, V. K. and Millerdurai, C. and Pagani, A. and Stricker, D.},
year = {2026},
publisher = {The Eurographics Association},
ISSN = {1467-8659},
DOI = {10.1111/cgf.70567}
}
Project Page
Further information, qualitative results, and the accompanying work are available on the MVFGA project page.
Contact
For questions about access, licensing, or permitted uses, contact the dataset owners through the repository's Community tab or the contact information listed on the project page.
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