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Towards Real-Time Gaussian Splatting: Accelerating 3DGS through Photometric SLAM

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  • čas přidán 9. 07. 2024
  • Authored by Yan Song Hu, Dayou Mao, Yuhao Chen, and John Zelek

Komentáře • 6

  • @NicholasPellegrino
    @NicholasPellegrino Před 15 dny +3

    For the final plots showing PSNR vs training time, have you considered plotting on a log scale? It appears the main benefit is the reduced time required to reach a given PSNR. These close asymptotic tails seem to obscure this result. Also, using hours rather than seconds might be clearer 😅. Great work and Cool paper!

  • @eldoprano
    @eldoprano Před 14 dny

    Im excited for a future where you can create a splat in real time with multiple cameras 😵‍💫 might even be cool for things like autonomous driving (or instead of security cameras, you mix them into a live splat and have security angels with vr headsets flying over crouds to detect anomalies)

    • @eldoprano
      @eldoprano Před 14 dny

      Heck, military applications are also obvious here, but I don't like them :P might even be able to predict movement when out of line of sight? Like a deep 4D kalman filter @@ hoho. We are so fucked

  • @bethany-rp2tq
    @bethany-rp2tq Před 7 dny

    Can't find your paper on arXiv. Can you attach the paper link please?

  • @vassilisseferidis
    @vassilisseferidis Před měsícem +2

    Great work! Any plans to release the code for this?

    • @c016smith52
      @c016smith52 Před 25 dny +1

      I hope so, code please? :) I would love to attempt something with this as well, have an idea for an app/experience that will require me to better understand and be able to implement this tools. Thanks for the demonstration!