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@INPROCEEDINGS{Li:599819,
      author       = {Li, Ke and Rolff, Tim and Bacher, Reinhard and Steinicke,
                      Frank},
      title        = {{R}eality{G}it: {C}ross {R}eality {V}ersion {C}ontrol of
                      ${R}\&{D}$ {O}ptical {W}orkbench},
      publisher    = {IEEE},
      reportid     = {PUBDB-2023-07545},
      pages        = {807 - 808},
      year         = {2023},
      comment      = {2023 IEEE International Symposium on Mixed and Augmented
                      Reality Adjunct (ISMAR-Adjunct) : [Proceedings] - IEEE,
                      2023. - ISBN 979-8-3503-2891-2 -
                      doi:10.1109/ISMAR-Adjunct60411.2023.00178},
      booktitle     = {2023 IEEE International Symposium on
                       Mixed and Augmented Reality Adjunct
                       (ISMAR-Adjunct) : [Proceedings] - IEEE,
                       2023. - ISBN 979-8-3503-2891-2 -
                       doi:10.1109/ISMAR-Adjunct60411.2023.00178},
      abstract     = {Multi-user collaboration at research and development
                      $(R\&D)$ workbenches in advanced optics laboratories
                      involves updating and documenting the status of hundreds of
                      components. Although there are abundant mixed reality (MR)
                      systems to support the collaboration of spatially co-located
                      users, limited methods are available to facilitate
                      cooperation in the spatial-temporal domain. Inspired by the
                      version control workflow used in software development, we
                      propose RealityGit, a novel cross-reality (CR) system design
                      that leverages the recent advancements of neural radiance
                      fields (NeRF). We illustrate how the NeRF model can be used
                      to channel users with different extended reality (XR)
                      experiences by providing an accurate immersive visual
                      documentation of the historical states of a complex $R\&D$
                      workbench. We demonstrate the feasibility of such a system
                      through an implementation where users could contribute to
                      the version control workflows by integrating historical NeRF
                      scans into their MR devices or providing status reviews by
                      annotating or editing a NeRF model in virtual reality (VR).},
      month         = {Oct},
      date          = {2023-10-16},
      organization  = {2023 IEEE International Symposium on
                       Mixed and Augmented Reality, Sydney
                       (Australia), 16 Oct 2023 - 20 Oct 2023},
      cin          = {MCS},
      cid          = {I:(DE-H253)MCS-20120806},
      pnm          = {621 - Accelerator Research and Development (POF4-621) /
                      HIDSS-0002 - DASHH: Data Science in Hamburg - Helmholtz
                      Graduate School for the Structure of Matter
                      $(2019_IVF-HIDSS-0002)$},
      pid          = {G:(DE-HGF)POF4-621 / $G:(DE-HGF)2019_IVF-HIDSS-0002$},
      experiment   = {EXP:(DE-MLZ)NOSPEC-20140101},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.1109/ISMAR-Adjunct60411.2023.00178},
      url          = {https://bib-pubdb1.desy.de/record/599819},
}