FAUST

doi:doi:10.57702/zsacudi8

FAUST

The dataset FAUST contains 10 different bodies in 10 different poses. The irregular surface meshes have 6890 vertices. The dataset is used to evaluate the reconstruction quality of the proposed mesh autoencoder.

BibTex:

@dataset{Benjamin_Groisser_and_Alon_Wolf_and_Ron_Kimmel_2024,
    abstract = {The dataset FAUST contains 10 different bodies in 10 different poses. The irregular surface meshes have 6890 vertices. The dataset is used to evaluate the reconstruction quality of the proposed mesh autoencoder.},
    author = {Benjamin Groisser and Alon Wolf and Ron Kimmel},
    doi = {10.57702/zsacudi8},
    institution = {No Organization},
    keyword = {'3D Human Body Scans', '3D deformation', '3D reconstruction', '3D shapes', 'FAUST dataset', 'Human Body Scans', 'Human Body Segmentation', 'Mesh Segmentation', 'Shape Registration', 'correspondence', 'correspondence estimation', 'correspondence matching', 'deformable shapes', 'human bodies', 'human body', 'mesh analysis', 'mesh convolutional networks', 'mesh registration', 'partial shape matching', 'shape completion', 'shape matching'},
    month = {dec},
    publisher = {TIB},
    title = {FAUST},
    url = {https://service.tib.eu/ldmservice/dataset/faust},
    year = {2024}
}