PROX

doi:doi:10.57702/b8hyfa1i

PROX

Motion synthesis in real-world 3D scenes has recently attracted much attention. However, the static environment assumption made by most current methods usually cannot be satisfied especially for real-time motion synthesis in scanned point cloud scenes, if multiple dynamic objects exist, e.g., moving persons or vehicles.

BibTex:

@dataset{Mengmeng_Li_and_Sheng_Chen_and_Yuan_Zhao_and_Yuan_Zhang_and_Yuan_Wang_and_Qing_Tian_2024,
    abstract = {Motion synthesis in real-world 3D scenes has recently attracted much attention. However, the static environment assumption made by most current methods usually cannot be satisfied especially for real-time motion synthesis in scanned point cloud scenes, if multiple dynamic objects exist, e.g., moving persons or vehicles.},
    author = {Mengmeng Li and Sheng Chen and Yuan Zhao and Yuan Zhang and Yuan Wang and Qing Tian},
    doi = {10.57702/b8hyfa1i},
    institution = {No Organization},
    keyword = {'3D human pose estimation', '3D point cloud scene', 'Kinect-One sensor', 'PROX', 'dynamic environment', 'human motion capture', 'human motion prediction', 'human pose estimation', 'indoor environments', 'monocular RGBD', 'motion synthesis', 'real-world human motion dataset', 'scene perception', 'scene-awareness'},
    month = {dec},
    publisher = {TIB},
    title = {PROX},
    url = {https://service.tib.eu/ldmservice/dataset/prox},
    year = {2024}
}