Statements (33)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:dataset
|
| gptkbp:aggregatesFrom |
multiple mocap datasets
|
| gptkbp:citation |
AMASS: Archive of Motion Capture as Surface Shapes, Mahmood et al., ICCV 2019
|
| gptkbp:contains |
motion capture data
3D human body shapes |
| gptkbp:createdBy |
MPI (Max Planck Institute for Intelligent Systems)
|
| gptkbp:domain |
gptkb:machine_learning
computer vision |
| gptkbp:format |
gptkb:SMPL_body_model
|
| gptkbp:fullName |
Archive of Motion Capture as Surface Shapes
|
| https://www.w3.org/2000/01/rdf-schema#label |
AMASS
|
| gptkbp:includes |
BML MoCap
CMU MoCap DFaust EKUT MoCap Eyes Japan HumanEva KIT MoCap PosePrior SSM Synced MoCap TotalCapture Transitions MoCap |
| gptkbp:language |
English
|
| gptkbp:license |
gptkb:academic
|
| gptkbp:releaseYear |
2019
|
| gptkbp:type |
3D mesh sequences
motion sequences |
| gptkbp:usedFor |
animation
human pose estimation biomechanics research |
| gptkbp:website |
https://amass.is.tue.mpg.de/
|
| gptkbp:bfsParent |
gptkb:Amaniampong_Senior_High_School
|
| gptkbp:bfsLayer |
7
|