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@Terascale-All-sensing-Research-Studio

Terascale All-sensing Research Studio

At the Terascale All-sensing Research Studio (TARS) at Wright State University, Dayton, OH, we perform research in human-driven artificial intelligence using capture and analysis of dense multi-person interactions in online and real-world environments. Our research spans computer vision, computer graphics, deep learning, human-robot interaction, virtual reality, and human-computer interaction.

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  1. FantasticBreaks FantasticBreaks Public

    [CVPR2023] Landing Page for "Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts"

    1

  2. DeepMend DeepMend Public

    [ECCV2022] Code for "DeepMend: Learning Occupancy Functions to Represent Shape for Repair"

    Python 6 1

  3. DeepJoin DeepJoin Public

    [SIGGRAPH Asia 2022] Code for "DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field Function for Shape Repair"

    Python 15 4

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