AI derived 3D point clouds for robotic vision training (IMAGE)

University of Texas at Austin, Texas Advanced Computing Center

AI derived 3D point clouds for robotic vision training

Caption

Examples of 3D point clouds synthesized by the progressive conditional generative adversarial network (PCGAN) for an assortment of object classes. PCGAN generates both geometry and color for point clouds, without supervision, through a coarse to fine training process. [Credit: William Beksi, Mohammad Samiul Arshad, UT Arlington]

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[William Beksi, UT Arlington]

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